Overview

Brought to you by YData

Dataset statistics

Number of variables	93
Number of observations	300089
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	212.9 MiB
Average record size in memory	744.0 B

Variable types

Numeric	10
DateTime	1
Categorical	82

Alerts

`city` is highly overall correlated with `city_Babahoyo` and 44 other fields	High correlation
`city_Babahoyo` is highly overall correlated with `city` and 2 other fields	High correlation
`city_Cayambe` is highly overall correlated with `city`	High correlation
`city_Cuenca` is highly overall correlated with `city` and 4 other fields	High correlation
`city_Daule` is highly overall correlated with `city`	High correlation
`city_El Carmen` is highly overall correlated with `city` and 2 other fields	High correlation
`city_Esmeraldas` is highly overall correlated with `city` and 2 other fields	High correlation
`city_Guaranda` is highly overall correlated with `city` and 2 other fields	High correlation
`city_Guayaquil` is highly overall correlated with `city` and 3 other fields	High correlation
`city_Ibarra` is highly overall correlated with `city` and 2 other fields	High correlation
`city_Latacunga` is highly overall correlated with `city` and 3 other fields	High correlation
`city_Libertad` is highly overall correlated with `city`	High correlation
`city_Loja` is highly overall correlated with `city` and 2 other fields	High correlation
`city_Machala` is highly overall correlated with `city` and 3 other fields	High correlation
`city_Manta` is highly overall correlated with `city` and 3 other fields	High correlation
`city_Playas` is highly overall correlated with `city`	High correlation
`city_Puyo` is highly overall correlated with `city` and 2 other fields	High correlation
`city_Quevedo` is highly overall correlated with `city` and 2 other fields	High correlation
`city_Quito` is highly overall correlated with `city` and 5 other fields	High correlation
`city_Riobamba` is highly overall correlated with `city` and 2 other fields	High correlation
`city_Salinas` is highly overall correlated with `city` and 2 other fields	High correlation
`city_Santo Domingo` is highly overall correlated with `city` and 2 other fields	High correlation
`cluster` is highly overall correlated with `city` and 11 other fields	High correlation
`cluster.1` is highly overall correlated with `city` and 11 other fields	High correlation
`days_after_earthquake` is highly overall correlated with `id`	High correlation
`days_from_previous_payday` is highly overall correlated with `days_to_next_payday` and 1 other fields	High correlation
`days_to_next_payday` is highly overall correlated with `days_from_previous_payday` and 1 other fields	High correlation
`dcoilwtico` is highly overall correlated with `id`	High correlation
`family` is highly overall correlated with `family_BABY CARE` and 31 other fields	High correlation
`family_BABY CARE` is highly overall correlated with `family`	High correlation
`family_BEAUTY` is highly overall correlated with `family`	High correlation
`family_BEVERAGES` is highly overall correlated with `family`	High correlation
`family_BOOKS` is highly overall correlated with `family`	High correlation
`family_BREAD/BAKERY` is highly overall correlated with `family`	High correlation
`family_CELEBRATION` is highly overall correlated with `family`	High correlation
`family_CLEANING` is highly overall correlated with `family`	High correlation
`family_DAIRY` is highly overall correlated with `family`	High correlation
`family_DELI` is highly overall correlated with `family`	High correlation
`family_EGGS` is highly overall correlated with `family`	High correlation
`family_FROZEN FOODS` is highly overall correlated with `family`	High correlation
`family_GROCERY I` is highly overall correlated with `family`	High correlation
`family_GROCERY II` is highly overall correlated with `family`	High correlation
`family_HARDWARE` is highly overall correlated with `family`	High correlation
`family_HOME AND KITCHEN I` is highly overall correlated with `family`	High correlation
`family_HOME AND KITCHEN II` is highly overall correlated with `family`	High correlation
`family_HOME APPLIANCES` is highly overall correlated with `family`	High correlation
`family_HOME CARE` is highly overall correlated with `family`	High correlation
`family_LADIESWEAR` is highly overall correlated with `family`	High correlation
`family_LAWN AND GARDEN` is highly overall correlated with `family`	High correlation
`family_LINGERIE` is highly overall correlated with `family`	High correlation
`family_LIQUOR,WINE,BEER` is highly overall correlated with `family`	High correlation
`family_MAGAZINES` is highly overall correlated with `family`	High correlation
`family_MEATS` is highly overall correlated with `family`	High correlation
`family_PERSONAL CARE` is highly overall correlated with `family`	High correlation
`family_PET SUPPLIES` is highly overall correlated with `family`	High correlation
`family_PLAYERS AND ELECTRONICS` is highly overall correlated with `family`	High correlation
`family_POULTRY` is highly overall correlated with `family`	High correlation
`family_PREPARED FOODS` is highly overall correlated with `family`	High correlation
`family_PRODUCE` is highly overall correlated with `family`	High correlation
`family_SCHOOL AND OFFICE SUPPLIES` is highly overall correlated with `family`	High correlation
`family_SEAFOOD` is highly overall correlated with `family`	High correlation
`id` is highly overall correlated with `days_after_earthquake` and 1 other fields	High correlation
`is_payday` is highly overall correlated with `days_from_previous_payday` and 1 other fields	High correlation
`onpromotion` is highly overall correlated with `sales`	High correlation
`sales` is highly overall correlated with `onpromotion`	High correlation
`state` is highly overall correlated with `city` and 38 other fields	High correlation
`state_Bolivar` is highly overall correlated with `city` and 2 other fields	High correlation
`state_Chimborazo` is highly overall correlated with `city` and 2 other fields	High correlation
`state_Cotopaxi` is highly overall correlated with `city` and 3 other fields	High correlation
`state_El Oro` is highly overall correlated with `city` and 3 other fields	High correlation
`state_Esmeraldas` is highly overall correlated with `city` and 2 other fields	High correlation
`state_Guayas` is highly overall correlated with `city` and 5 other fields	High correlation
`state_Imbabura` is highly overall correlated with `city` and 2 other fields	High correlation
`state_Loja` is highly overall correlated with `city` and 2 other fields	High correlation
`state_Los Rios` is highly overall correlated with `city` and 3 other fields	High correlation
`state_Manabi` is highly overall correlated with `city` and 4 other fields	High correlation
`state_Pastaza` is highly overall correlated with `city` and 2 other fields	High correlation
`state_Pichincha` is highly overall correlated with `city` and 5 other fields	High correlation
`state_Santa Elena` is highly overall correlated with `city` and 2 other fields	High correlation
`state_Santo Domingo de los Tsachilas` is highly overall correlated with `city` and 2 other fields	High correlation
`state_Tungurahua` is highly overall correlated with `city` and 1 other fields	High correlation
`store_nbr` is highly overall correlated with `city` and 15 other fields	High correlation
`type` is highly overall correlated with `city` and 8 other fields	High correlation
`type_B` is highly overall correlated with `city` and 3 other fields	High correlation
`type_C` is highly overall correlated with `city` and 5 other fields	High correlation
`type_D` is highly overall correlated with `city` and 4 other fields	High correlation
`type_E` is highly overall correlated with `city` and 4 other fields	High correlation
`is_payday` is highly imbalanced (65.1%)	Imbalance
`city_Babahoyo` is highly imbalanced (87.1%)	Imbalance
`city_Cayambe` is highly imbalanced (86.8%)	Imbalance
`city_Cuenca` is highly imbalanced (69.0%)	Imbalance
`city_Daule` is highly imbalanced (86.7%)	Imbalance
`city_El Carmen` is highly imbalanced (86.8%)	Imbalance
`city_Esmeraldas` is highly imbalanced (86.7%)	Imbalance
`city_Guaranda` is highly imbalanced (86.7%)	Imbalance
`city_Ibarra` is highly imbalanced (86.7%)	Imbalance
`city_Latacunga` is highly imbalanced (77.0%)	Imbalance
`city_Libertad` is highly imbalanced (86.6%)	Imbalance
`city_Loja` is highly imbalanced (86.4%)	Imbalance
`city_Machala` is highly imbalanced (77.4%)	Imbalance
`city_Manta` is highly imbalanced (77.1%)	Imbalance
`city_Playas` is highly imbalanced (86.6%)	Imbalance
`city_Puyo` is highly imbalanced (86.7%)	Imbalance
`city_Quevedo` is highly imbalanced (87.0%)	Imbalance
`city_Riobamba` is highly imbalanced (86.8%)	Imbalance
`city_Salinas` is highly imbalanced (86.6%)	Imbalance
`city_Santo Domingo` is highly imbalanced (68.6%)	Imbalance
`state_Bolivar` is highly imbalanced (86.7%)	Imbalance
`state_Chimborazo` is highly imbalanced (86.8%)	Imbalance
`state_Cotopaxi` is highly imbalanced (77.0%)	Imbalance
`state_El Oro` is highly imbalanced (77.4%)	Imbalance
`state_Esmeraldas` is highly imbalanced (86.7%)	Imbalance
`state_Imbabura` is highly imbalanced (86.7%)	Imbalance
`state_Loja` is highly imbalanced (86.4%)	Imbalance
`state_Los Rios` is highly imbalanced (77.7%)	Imbalance
`state_Manabi` is highly imbalanced (69.1%)	Imbalance
`state_Pastaza` is highly imbalanced (86.7%)	Imbalance
`state_Santa Elena` is highly imbalanced (86.6%)	Imbalance
`state_Santo Domingo de los Tsachilas` is highly imbalanced (68.6%)	Imbalance
`state_Tungurahua` is highly imbalanced (77.0%)	Imbalance
`type_E` is highly imbalanced (61.9%)	Imbalance
`family_BABY CARE` is highly imbalanced (80.4%)	Imbalance
`family_BEAUTY` is highly imbalanced (80.6%)	Imbalance
`family_BEVERAGES` is highly imbalanced (80.7%)	Imbalance
`family_BOOKS` is highly imbalanced (80.4%)	Imbalance
`family_BREAD/BAKERY` is highly imbalanced (80.4%)	Imbalance
`family_CELEBRATION` is highly imbalanced (80.5%)	Imbalance
`family_CLEANING` is highly imbalanced (80.2%)	Imbalance
`family_DAIRY` is highly imbalanced (80.2%)	Imbalance
`family_DELI` is highly imbalanced (80.5%)	Imbalance
`family_EGGS` is highly imbalanced (80.2%)	Imbalance
`family_FROZEN FOODS` is highly imbalanced (80.4%)	Imbalance
`family_GROCERY I` is highly imbalanced (80.6%)	Imbalance
`family_GROCERY II` is highly imbalanced (80.6%)	Imbalance
`family_HARDWARE` is highly imbalanced (80.5%)	Imbalance
`family_HOME AND KITCHEN I` is highly imbalanced (80.6%)	Imbalance
`family_HOME AND KITCHEN II` is highly imbalanced (80.8%)	Imbalance
`family_HOME APPLIANCES` is highly imbalanced (80.4%)	Imbalance
`family_HOME CARE` is highly imbalanced (80.1%)	Imbalance
`family_LADIESWEAR` is highly imbalanced (80.6%)	Imbalance
`family_LAWN AND GARDEN` is highly imbalanced (80.2%)	Imbalance
`family_LINGERIE` is highly imbalanced (80.4%)	Imbalance
`family_LIQUOR,WINE,BEER` is highly imbalanced (80.8%)	Imbalance
`family_MAGAZINES` is highly imbalanced (80.4%)	Imbalance
`family_MEATS` is highly imbalanced (80.3%)	Imbalance
`family_PERSONAL CARE` is highly imbalanced (80.4%)	Imbalance
`family_PET SUPPLIES` is highly imbalanced (80.4%)	Imbalance
`family_PLAYERS AND ELECTRONICS` is highly imbalanced (80.2%)	Imbalance
`family_POULTRY` is highly imbalanced (80.3%)	Imbalance
`family_PREPARED FOODS` is highly imbalanced (80.3%)	Imbalance
`family_PRODUCE` is highly imbalanced (80.4%)	Imbalance
`family_SCHOOL AND OFFICE SUPPLIES` is highly imbalanced (80.4%)	Imbalance
`family_SEAFOOD` is highly imbalanced (80.4%)	Imbalance
`is_holiday` is highly imbalanced (82.3%)	Imbalance
`is_event` is highly imbalanced (79.1%)	Imbalance
`is_additional` is highly imbalanced (86.6%)	Imbalance
`is_transfer` is highly imbalanced (96.0%)	Imbalance
`is_bridge` is highly imbalanced (98.0%)	Imbalance
`id` has unique values	Unique
`sales` has 93676 (31.2%) zeros	Zeros
`onpromotion` has 238782 (79.6%) zeros	Zeros
`days_to_next_payday` has 19637 (6.5%) zeros	Zeros
`days_from_previous_payday` has 19637 (6.5%) zeros	Zeros
`days_after_earthquake` has 212988 (71.0%) zeros	Zeros

Reproduction

Analysis started	2025-03-23 13:41:34.151806
Analysis finished	2025-03-23 13:43:08.794708
Duration	1 minute and 34.64 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

id
Real number (ℝ)

High correlation Unique

Distinct	300089
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1502654.1

Minimum	28
Maximum	3000885
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	28
5-th percentile	149767.8
Q1	751211
median	1502579
Q3	2254795
95-th percentile	2853000.4
Maximum	3000885
Range	3000857
Interquartile range (IQR)	1503584

Descriptive statistics

Standard deviation	867048.09
Coefficient of variation (CV)	0.57701109
Kurtosis	-1.2014971
Mean	1502654.1
Median Absolute Deviation (MAD)	751763
Skewness	-0.0024746191
Sum	4.5092997 × 10¹¹
Variance	7.517724 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1056538	1	< 0.1%
298189	1	< 0.1%
122546	1	< 0.1%
1647768	1	< 0.1%
844276	1	< 0.1%
2178629	1	< 0.1%
947306	1	< 0.1%
2273742	1	< 0.1%
2566179	1	< 0.1%
2188553	1	< 0.1%
Other values (300079)	300079	> 99.9%

Value	Count	Frequency (%)
28	1	< 0.1%
37	1	< 0.1%
42	1	< 0.1%
43	1	< 0.1%
58	1	< 0.1%
82	1	< 0.1%
84	1	< 0.1%
85	1	< 0.1%
98	1	< 0.1%
100	1	< 0.1%

Value	Count	Frequency (%)
3000885	1	< 0.1%
3000874	1	< 0.1%
3000873	1	< 0.1%
3000869	1	< 0.1%
3000850	1	< 0.1%
3000838	1	< 0.1%
3000809	1	< 0.1%
3000797	1	< 0.1%
3000793	1	< 0.1%
3000781	1	< 0.1%

date
Date

Distinct	1684
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

Minimum	2013-01-01 00:00:00
Maximum	2017-08-15 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

store_nbr
Real number (ℝ)

High correlation

Distinct	54
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.475256

Minimum	1
Maximum	54
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	14
median	27
Q3	41
95-th percentile	52
Maximum	54
Range	53
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	15.569054
Coefficient of variation (CV)	0.5666573
Kurtosis	-1.1981555
Mean	27.475256
Median Absolute Deviation (MAD)	13
Skewness	0.0024651484
Sum	8245022
Variance	242.39545
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38	5737	1.9%
21	5737	1.9%
20	5720	1.9%
37	5682	1.9%
1	5654	1.9%
5	5646	1.9%
23	5641	1.9%
35	5631	1.9%
12	5625	1.9%
36	5619	1.9%
Other values (44)	243397	81.1%

Value	Count	Frequency (%)
1	5654	1.9%
2	5552	1.9%
3	5504	1.8%
4	5453	1.8%
5	5646	1.9%
6	5423	1.8%
7	5524	1.8%
8	5581	1.9%
9	5560	1.9%
10	5554	1.9%

Value	Count	Frequency (%)
54	5493	1.8%
53	5523	1.8%
52	5607	1.9%
51	5434	1.8%
50	5594	1.9%
49	5487	1.8%
48	5525	1.8%
47	5596	1.9%
46	5576	1.9%
45	5565	1.9%

family
Categorical

High correlation

Distinct	33
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

HOME CARE	9258
PLAYERS AND ELECTRONICS	9238
LAWN AND GARDEN	9238
CLEANING	9214
EGGS	9214
Other values (28)	253927

Length

Max length	26
Median length	16
Mean length	10.750777
Min length	4

Characters and Unicode

Total characters	3226190
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BABY CARE
2nd row	HOME APPLIANCES
3rd row	GROCERY I
4th row	BOOKS
5th row	BEAUTY

Common Values

Value	Count	Frequency (%)
HOME CARE	9258	3.1%
PLAYERS AND ELECTRONICS	9238	3.1%
LAWN AND GARDEN	9238	3.1%
CLEANING	9214	3.1%
EGGS	9214	3.1%
DAIRY	9213	3.1%
POULTRY	9189	3.1%
PREPARED FOODS	9185	3.1%
AUTOMOTIVE	9166	3.1%
MEATS	9136	3.0%
Other values (23)	208038	69.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	45456	9.1%
home	36248	7.3%
care	27496	5.5%
foods	18269	3.7%
supplies	18205	3.6%
i	18001	3.6%
grocery	17964	3.6%
kitchen	17872	3.6%
ii	17835	3.6%
players	9238	1.8%
Other values (30)	273341	54.7%

Most occurring characters

Value	Count	Frequency (%)
E	435687	13.5%
A	291648	9.0%
R	245342	7.6%
O	236442	7.3%
I	216918	6.7%
	199836	6.2%
N	172921	5.4%
S	164089	5.1%
D	145737	4.5%
L	136718	4.2%
Other values (17)	980852	30.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2999508	93.0%
Space Separator	199836	6.2%
Other Punctuation	26846	0.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	435687	14.5%
A	291648	9.7%
R	245342	8.2%
O	236442	7.9%
I	216918	7.2%
N	172921	5.8%
S	164089	5.5%
D	145737	4.9%
L	136718	4.6%
C	136527	4.6%
Other values (14)	817479	27.3%

Other Punctuation

Value	Count	Frequency (%)
,	17740	66.1%
/	9106	33.9%

Space Separator

Value	Count	Frequency (%)
	199836	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2999508	93.0%
Common	226682	7.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	435687	14.5%
A	291648	9.7%
R	245342	8.2%
O	236442	7.9%
I	216918	7.2%
N	172921	5.8%
S	164089	5.5%
D	145737	4.9%
L	136718	4.6%
C	136527	4.6%
Other values (14)	817479	27.3%

Common

Value	Count	Frequency (%)
	199836	88.2%
,	17740	7.8%
/	9106	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3226190	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	435687	13.5%
A	291648	9.0%
R	245342	7.6%
O	236442	7.3%
I	216918	6.7%
	199836	6.2%
N	172921	5.4%
S	164089	5.1%
D	145737	4.5%
L	136718	4.2%
Other values (17)	980852	30.4%

sales
Real number (ℝ)

High correlation Zeros

Distinct	51995
Distinct (%)	17.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	357.96981

Minimum	0
Maximum	63434
Zeros	93676
Zeros (%)	31.2%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	11
Q3	196.576
95-th percentile	1957.7828
Maximum	63434
Range	63434
Interquartile range (IQR)	196.576

Descriptive statistics

Standard deviation	1109.0809
Coefficient of variation (CV)	3.0982526
Kurtosis	109.22025
Mean	357.96981
Median Absolute Deviation (MAD)	11
Skewness	7.2814034
Sum	1.074228 × 10⁸
Variance	1230060.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	93676	31.2%
1	11609	3.9%
2	8547	2.8%
3	6879	2.3%
4	5891	2.0%
5	5103	1.7%
6	4326	1.4%
7	3800	1.3%
8	3345	1.1%
9	3043	1.0%
Other values (51985)	153870	51.3%

Value	Count	Frequency (%)
0	93676	31.2%
0.166	1	< 0.1%
0.224	1	< 0.1%
0.232	1	< 0.1%
0.318	1	< 0.1%
0.396	1	< 0.1%
0.582	1	< 0.1%
0.634	1	< 0.1%
0.788	1	< 0.1%
1	11609	3.9%

Value	Count	Frequency (%)
63434	1	< 0.1%
46271	1	< 0.1%
37514.926	1	< 0.1%
34454	1	< 0.1%
33274	1	< 0.1%
29670	1	< 0.1%
29666	1	< 0.1%
22255	1	< 0.1%
21858	1	< 0.1%
21719	1	< 0.1%

onpromotion
Real number (ℝ)

High correlation Zeros

Distinct	263
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5939338

Minimum	0
Maximum	717
Zeros	238782
Zeros (%)	79.6%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	13
Maximum	717
Range	717
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	12.268568
Coefficient of variation (CV)	4.7297153
Kurtosis	224.09479
Mean	2.5939338
Median Absolute Deviation (MAD)	0
Skewness	11.155899
Sum	778411
Variance	150.51777
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	238782	79.6%
1	17438	5.8%
2	8040	2.7%
3	4561	1.5%
4	3167	1.1%
5	2506	0.8%
6	2241	0.7%
7	1907	0.6%
8	1594	0.5%
9	1428	0.5%
Other values (253)	18425	6.1%

Value	Count	Frequency (%)
0	238782	79.6%
1	17438	5.8%
2	8040	2.7%
3	4561	1.5%
4	3167	1.1%
5	2506	0.8%
6	2241	0.7%
7	1907	0.6%
8	1594	0.5%
9	1428	0.5%

Value	Count	Frequency (%)
717	1	< 0.1%
626	1	< 0.1%
519	1	< 0.1%
496	1	< 0.1%
489	1	< 0.1%
485	1	< 0.1%
474	1	< 0.1%
446	1	< 0.1%
391	1	< 0.1%
332	1	< 0.1%

days_to_next_payday
Real number (ℝ)

High correlation Zeros

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.1273356

Minimum	0
Maximum	15
Zeros	19637
Zeros (%)	6.5%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	7
Q3	11
95-th percentile	14
Maximum	15
Range	15
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	4.4078243
Coefficient of variation (CV)	0.61843928
Kurtosis	-1.19466
Mean	7.1273356
Median Absolute Deviation (MAD)	4
Skewness	0.012819369
Sum	2138835
Variance	19.428915
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
11	19888	6.6%
3	19875	6.6%
5	19845	6.6%
1	19844	6.6%
10	19820	6.6%
12	19799	6.6%
7	19776	6.6%
9	19718	6.6%
4	19668	6.6%
2	19661	6.6%
Other values (6)	102195	34.1%

Value	Count	Frequency (%)
0	19637	6.5%
1	19844	6.6%
2	19661	6.6%
3	19875	6.6%
4	19668	6.6%
5	19845	6.6%
6	19129	6.4%
7	19776	6.6%
8	19597	6.5%
9	19718	6.6%

Value	Count	Frequency (%)
15	5660	1.9%
14	19011	6.3%
13	19161	6.4%
12	19799	6.6%
11	19888	6.6%
10	19820	6.6%
9	19718	6.6%
8	19597	6.5%
7	19776	6.6%
6	19129	6.4%

days_from_previous_payday
Real number (ℝ)

High correlation Zeros

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.1105006

Minimum	0
Maximum	15
Zeros	19637
Zeros (%)	6.5%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	7
Q3	11
95-th percentile	14
Maximum	15
Range	15
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	4.4059246
Coefficient of variation (CV)	0.61963635
Kurtosis	-1.1907205
Mean	7.1105006
Median Absolute Deviation (MAD)	4
Skewness	0.021541351
Sum	2133783
Variance	19.412172
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
1	19877	6.6%
2	19865	6.6%
4	19859	6.6%
9	19843	6.6%
5	19806	6.6%
6	19799	6.6%
8	19742	6.6%
11	19732	6.6%
3	19731	6.6%
0	19637	6.5%
Other values (6)	102198	34.1%

Value	Count	Frequency (%)
0	19637	6.5%
1	19877	6.6%
2	19865	6.6%
3	19731	6.6%
4	19859	6.6%
5	19806	6.6%
6	19799	6.6%
7	19620	6.5%
8	19742	6.6%
9	19843	6.6%

Value	Count	Frequency (%)
15	5740	1.9%
14	18924	6.3%
13	19140	6.4%
12	19606	6.5%
11	19732	6.6%
10	19168	6.4%
9	19843	6.6%
8	19742	6.6%
7	19620	6.5%
6	19799	6.6%

is_payday
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	280452
1	19637

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	280452	93.5%
1	19637	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	280452	93.5%
1	19637	6.5%

Most occurring characters

Value	Count	Frequency (%)
0	280452	93.5%
1	19637	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	280452	93.5%
1	19637	6.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	280452	93.5%
1	19637	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	280452	93.5%
1	19637	6.5%

days_after_earthquake
Real number (ℝ)

High correlation Zeros

Distinct	487
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.825215

Minimum	0
Maximum	487
Zeros	212988
Zeros (%)	71.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	68
95-th percentile	405
Maximum	487
Range	487
Interquartile range (IQR)	68

Descriptive statistics

Standard deviation	134.3183
Coefficient of variation (CV)	1.8964757
Kurtosis	1.6804453
Mean	70.825215
Median Absolute Deviation (MAD)	0
Skewness	1.7559898
Sum	21253868
Variance	18041.406
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	212988	71.0%
341	219	0.1%
260	215	0.1%
378	215	0.1%
35	214	0.1%
275	213	0.1%
462	212	0.1%
216	211	0.1%
154	211	0.1%
39	210	0.1%
Other values (477)	85181	28.4%

Value	Count	Frequency (%)
0	212988	71.0%
1	181	0.1%
2	170	0.1%
3	183	0.1%
4	177	0.1%
5	174	0.1%
6	205	0.1%
7	185	0.1%
8	189	0.1%
9	176	0.1%

Value	Count	Frequency (%)
487	189	0.1%
486	177	0.1%
485	195	0.1%
484	170	0.1%
483	190	0.1%
482	153	0.1%
481	181	0.1%
480	183	0.1%
479	166	0.1%
478	198	0.1%

dcoilwtico
Real number (ℝ)

High correlation

Distinct	994
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	67.879521

Minimum	26.19
Maximum	110.62
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	26.19
5-th percentile	36.81
Q1	46.32
median	53.41
Q3	95.72
95-th percentile	105.23
Maximum	110.62
Range	84.43
Interquartile range (IQR)	49.4

Descriptive statistics

Standard deviation	25.656601
Coefficient of variation (CV)	0.37797264
Kurtosis	-1.616566
Mean	67.879521
Median Absolute Deviation (MAD)	12.96
Skewness	0.30848722
Sum	20369898
Variance	658.2612
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46.02	1998	0.7%
93.12	1430	0.5%
97.86	1380	0.5%
104.76	1226	0.4%
48.49	1100	0.4%
94.56	1090	0.4%
103.83	1076	0.4%
59.41	1062	0.4%
47.3	1027	0.3%
47.72	1010	0.3%
Other values (984)	287690	95.9%

Value	Count	Frequency (%)
26.19	180	0.1%
26.68	185	0.1%
27.54	182	0.1%
27.96	151	0.1%
28.47	178	0.1%
29.05	194	0.1%
29.32	718	0.2%
29.45	720	0.2%
29.54	177	0.1%
29.55	170	0.1%

Value	Count	Frequency (%)
110.62	569	0.2%
110.17	180	0.1%
109.62	177	0.1%
109.11	187	0.1%
108.72	169	0.1%
108.67	178	0.1%
108.51	192	0.1%
108.5	130	< 0.1%
108.31	538	0.2%
108.23	165	0.1%

city
Categorical

High correlation

Distinct	22
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

Quito	99924
Guayaquil	44285
Santo Domingo	16997
Cuenca	16716
Ambato	11235
Other values (17)	110932

Length

Max length	13
Median length	10
Mean length	6.8545065
Min length	4

Characters and Unicode

Total characters	2056962
Distinct characters	34
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Guayaquil
2nd row	Quito
3rd row	Cuenca
4th row	Quito
5th row	Loja

Common Values

Value	Count	Frequency (%)
Quito	99924	33.3%
Guayaquil	44285	14.8%
Santo Domingo	16997	5.7%
Cuenca	16716	5.6%
Ambato	11235	3.7%
Latacunga	11179	3.7%
Manta	11130	3.7%
Machala	10960	3.7%
Loja	5737	1.9%
Playas	5631	1.9%
Other values (12)	66295	22.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
quito	99924	31.0%
guayaquil	44285	13.7%
santo	16997	5.3%
domingo	16997	5.3%
cuenca	16716	5.2%
ambato	11235	3.5%
latacunga	11179	3.5%
manta	11130	3.5%
machala	10960	3.4%
loja	5737	1.8%
Other values (14)	77419	24.0%

Most occurring characters

Value	Count	Frequency (%)
a	338708	16.5%
u	238491	11.6%
o	195103	9.5%
i	177927	8.6%
t	156084	7.6%
Q	105345	5.1%
n	89653	4.4%
l	83071	4.0%
y	66346	3.2%
e	55302	2.7%
Other values (24)	550932	26.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1711893	83.2%
Uppercase Letter	322579	15.7%
Space Separator	22490	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	338708	19.8%
u	238491	13.9%
o	195103	11.4%
i	177927	10.4%
t	156084	9.1%
n	89653	5.2%
l	83071	4.9%
y	66346	3.9%
e	55302	3.2%
m	50306	2.9%
Other values (10)	260902	15.2%

Uppercase Letter

Value	Count	Frequency (%)
Q	105345	32.7%
G	49842	15.5%
C	27723	8.6%
S	22581	7.0%
D	22566	7.0%
L	22535	7.0%
M	22090	6.8%
A	11235	3.5%
P	11186	3.5%
E	11042	3.4%
Other values (3)	16434	5.1%

Space Separator

Value	Count	Frequency (%)
	22490	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2034472	98.9%
Common	22490	1.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	338708	16.6%
u	238491	11.7%
o	195103	9.6%
i	177927	8.7%
t	156084	7.7%
Q	105345	5.2%
n	89653	4.4%
l	83071	4.1%
y	66346	3.3%
e	55302	2.7%
Other values (23)	528442	26.0%

Common

Value	Count	Frequency (%)
	22490	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2056962	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	338708	16.5%
u	238491	11.6%
o	195103	9.5%
i	177927	8.6%
t	156084	7.6%
Q	105345	5.1%
n	89653	4.4%
l	83071	4.0%
y	66346	3.2%
e	55302	2.7%
Other values (24)	550932	26.8%

state
Categorical

High correlation

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

Pichincha	105438
Guayas	61104
Santo Domingo de los Tsachilas	16997
Azuay	16716
Manabi	16623
Other values (11)	83211

Length

Max length	30
Median length	11
Mean length	8.9302107
Min length	4

Characters and Unicode

Total characters	2679858
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Guayas
2nd row	Pichincha
3rd row	Azuay
4th row	Pichincha
5th row	Loja

Common Values

Value	Count	Frequency (%)
Pichincha	105438	35.1%
Guayas	61104	20.4%
Santo Domingo de los Tsachilas	16997	5.7%
Azuay	16716	5.6%
Manabi	16623	5.5%
Tungurahua	11235	3.7%
Cotopaxi	11179	3.7%
El Oro	10960	3.7%
Los Rios	10782	3.6%
Loja	5737	1.9%
Other values (6)	33318	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pichincha	105438	26.7%
guayas	61104	15.5%
los	27779	7.0%
santo	16997	4.3%
domingo	16997	4.3%
de	16997	4.3%
tsachilas	16997	4.3%
azuay	16716	4.2%
manabi	16623	4.2%
tungurahua	11235	2.8%
Other values (12)	88520	22.4%

Most occurring characters

Value	Count	Frequency (%)
a	434685	16.2%
i	294529	11.0%
h	244626	9.1%
c	227873	8.5%
n	178458	6.7%
s	150312	5.6%
o	145200	5.4%
u	117080	4.4%
P	110993	4.1%
	95314	3.6%
Other values (27)	680788	25.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2223135	83.0%
Uppercase Letter	361409	13.5%
Space Separator	95314	3.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	434685	19.6%
i	294529	13.2%
h	244626	11.0%
c	227873	10.3%
n	178458	8.0%
s	150312	6.8%
o	145200	6.5%
u	117080	5.3%
y	77820	3.5%
l	61644	2.8%
Other values (12)	290908	13.1%

Uppercase Letter

Value	Count	Frequency (%)
P	110993	30.7%
G	61104	16.9%
T	28232	7.8%
S	22581	6.2%
E	22093	6.1%
D	16997	4.7%
A	16716	4.6%
C	16697	4.6%
M	16623	4.6%
L	16519	4.6%
Other values (4)	32854	9.1%

Space Separator

Value	Count	Frequency (%)
	95314	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2584544	96.4%
Common	95314	3.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	434685	16.8%
i	294529	11.4%
h	244626	9.5%
c	227873	8.8%
n	178458	6.9%
s	150312	5.8%
o	145200	5.6%
u	117080	4.5%
P	110993	4.3%
y	77820	3.0%
Other values (26)	602968	23.3%

Common

Value	Count	Frequency (%)
	95314	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2679858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	434685	16.2%
i	294529	11.0%
h	244626	9.1%
c	227873	8.5%
n	178458	6.7%
s	150312	5.6%
o	145200	5.4%
u	117080	4.4%
P	110993	4.1%
	95314	3.6%
Other values (27)	680788	25.4%

type
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

D	100239
C	83146
A	49873
B	44597
E	22234

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	D
2nd row	A
3rd row	D
4th row	A
5th row	D

Common Values

Value	Count	Frequency (%)
D	100239	33.4%
C	83146	27.7%
A	49873	16.6%
B	44597	14.9%
E	22234	7.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
d	100239	33.4%
c	83146	27.7%
a	49873	16.6%
b	44597	14.9%
e	22234	7.4%

Most occurring characters

Value	Count	Frequency (%)
D	100239	33.4%
C	83146	27.7%
A	49873	16.6%
B	44597	14.9%
E	22234	7.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	300089	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
D	100239	33.4%
C	83146	27.7%
A	49873	16.6%
B	44597	14.9%
E	22234	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	300089	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
D	100239	33.4%
C	83146	27.7%
A	49873	16.6%
B	44597	14.9%
E	22234	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
D	100239	33.4%
C	83146	27.7%
A	49873	16.6%
B	44597	14.9%
E	22234	7.4%

cluster
Real number (ℝ)

High correlation

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.4768452

Minimum	1
Maximum	17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	8
Q3	13
95-th percentile	15
Maximum	17
Range	16
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	4.6492276
Coefficient of variation (CV)	0.54846202
Kurtosis	-1.2573134
Mean	8.4768452
Median Absolute Deviation (MAD)	4
Skewness	0.041019303
Sum	2543808
Variance	21.615317
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
3	38654	12.9%
6	33649	11.2%
10	33212	11.1%
15	27845	9.3%
14	22291	7.4%
13	22152	7.4%
4	16856	5.6%
1	16720	5.6%
11	16659	5.6%
8	16609	5.5%
Other values (7)	55442	18.5%

Value	Count	Frequency (%)
1	16720	5.6%
2	11191	3.7%
3	38654	12.9%
4	16856	5.6%
5	5489	1.8%
6	33649	11.2%
7	11073	3.7%
8	16609	5.5%
9	11094	3.7%
10	33212	11.1%

Value	Count	Frequency (%)
17	5434	1.8%
16	5587	1.9%
15	27845	9.3%
14	22291	7.4%
13	22152	7.4%
12	5574	1.9%
11	16659	5.6%
10	33212	11.1%
9	11094	3.7%
8	16609	5.5%

cluster.1
Real number (ℝ)

High correlation

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.4768452

Minimum	1
Maximum	17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	8
Q3	13
95-th percentile	15
Maximum	17
Range	16
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	4.6492276
Coefficient of variation (CV)	0.54846202
Kurtosis	-1.2573134
Mean	8.4768452
Median Absolute Deviation (MAD)	4
Skewness	0.041019303
Sum	2543808
Variance	21.615317
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
3	38654	12.9%
6	33649	11.2%
10	33212	11.1%
15	27845	9.3%
14	22291	7.4%
13	22152	7.4%
4	16856	5.6%
1	16720	5.6%
11	16659	5.6%
8	16609	5.5%
Other values (7)	55442	18.5%

Value	Count	Frequency (%)
1	16720	5.6%
2	11191	3.7%
3	38654	12.9%
4	16856	5.6%
5	5489	1.8%
6	33649	11.2%
7	11073	3.7%
8	16609	5.5%
9	11094	3.7%
10	33212	11.1%

Value	Count	Frequency (%)
17	5434	1.8%
16	5587	1.9%
15	27845	9.3%
14	22291	7.4%
13	22152	7.4%
12	5574	1.9%
11	16659	5.6%
10	33212	11.1%
9	11094	3.7%
8	16609	5.5%

city_Babahoyo
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294728
1	5361

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294728	98.2%
1	5361	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294728	98.2%
1	5361	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	294728	98.2%
1	5361	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294728	98.2%
1	5361	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294728	98.2%
1	5361	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294728	98.2%
1	5361	1.8%

city_Cayambe
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294575
1	5514

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294575	98.2%
1	5514	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294575	98.2%
1	5514	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	294575	98.2%
1	5514	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294575	98.2%
1	5514	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294575	98.2%
1	5514	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294575	98.2%
1	5514	1.8%

city_Cuenca
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	283373
1	16716

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	283373	94.4%
1	16716	5.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	283373	94.4%
1	16716	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	283373	94.4%
1	16716	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	283373	94.4%
1	16716	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	283373	94.4%
1	16716	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	283373	94.4%
1	16716	5.6%

city_Daule
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294520
1	5569

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294520	98.1%
1	5569	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294520	98.1%
1	5569	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294520	98.1%
1	5569	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294520	98.1%
1	5569	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294520	98.1%
1	5569	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294520	98.1%
1	5569	1.9%

city_El Carmen
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294596
1	5493

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294596	98.2%
1	5493	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294596	98.2%
1	5493	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	294596	98.2%
1	5493	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294596	98.2%
1	5493	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294596	98.2%
1	5493	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294596	98.2%
1	5493	1.8%

city_Esmeraldas
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294540
1	5549

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

city_Guaranda
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294532
1	5557

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

city_Guayaquil
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	255804
1	44285

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	255804	85.2%
1	44285	14.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	255804	85.2%
1	44285	14.8%

Most occurring characters

Value	Count	Frequency (%)
0	255804	85.2%
1	44285	14.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	255804	85.2%
1	44285	14.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	255804	85.2%
1	44285	14.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	255804	85.2%
1	44285	14.8%

city_Ibarra
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294534
1	5555

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

city_Latacunga
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	288910
1	11179

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

city_Libertad
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294470
1	5619

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294470	98.1%
1	5619	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294470	98.1%
1	5619	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294470	98.1%
1	5619	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294470	98.1%
1	5619	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294470	98.1%
1	5619	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294470	98.1%
1	5619	1.9%

city_Loja
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294352
1	5737

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

city_Machala
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	289129
1	10960

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

city_Manta
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	288959
1	11130

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	288959	96.3%
1	11130	3.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	288959	96.3%
1	11130	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	288959	96.3%
1	11130	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	288959	96.3%
1	11130	3.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	288959	96.3%
1	11130	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	288959	96.3%
1	11130	3.7%

city_Playas
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294458
1	5631

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294458	98.1%
1	5631	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294458	98.1%
1	5631	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294458	98.1%
1	5631	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294458	98.1%
1	5631	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294458	98.1%
1	5631	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294458	98.1%
1	5631	1.9%

city_Puyo
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294534
1	5555

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

city_Quevedo
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294668
1	5421

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294668	98.2%
1	5421	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294668	98.2%
1	5421	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	294668	98.2%
1	5421	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294668	98.2%
1	5421	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294668	98.2%
1	5421	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294668	98.2%
1	5421	1.8%

city_Quito
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	200165
1	99924

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	200165	66.7%
1	99924	33.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	200165	66.7%
1	99924	33.3%

Most occurring characters

Value	Count	Frequency (%)
0	200165	66.7%
1	99924	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	200165	66.7%
1	99924	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	200165	66.7%
1	99924	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	200165	66.7%
1	99924	33.3%

city_Riobamba
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294571
1	5518

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

city_Salinas
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294505
1	5584

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

city_Santo Domingo
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	283092
1	16997

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

Most occurring characters

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

state_Bolivar
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294532
1	5557

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294532	98.1%
1	5557	1.9%

state_Chimborazo
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294571
1	5518

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294571	98.2%
1	5518	1.8%

state_Cotopaxi
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	288910
1	11179

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	288910	96.3%
1	11179	3.7%

state_El Oro
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	289129
1	10960

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	289129	96.3%
1	10960	3.7%

state_Esmeraldas
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294540
1	5549

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294540	98.2%
1	5549	1.8%

state_Guayas
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	238985
1	61104

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	238985	79.6%
1	61104	20.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	238985	79.6%
1	61104	20.4%

Most occurring characters

Value	Count	Frequency (%)
0	238985	79.6%
1	61104	20.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	238985	79.6%
1	61104	20.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	238985	79.6%
1	61104	20.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	238985	79.6%
1	61104	20.4%

state_Imbabura
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294534
1	5555

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

state_Loja
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294352
1	5737

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294352	98.1%
1	5737	1.9%

state_Los Rios
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	289307
1	10782

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	289307	96.4%
1	10782	3.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	289307	96.4%
1	10782	3.6%

Most occurring characters

Value	Count	Frequency (%)
0	289307	96.4%
1	10782	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	289307	96.4%
1	10782	3.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	289307	96.4%
1	10782	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	289307	96.4%
1	10782	3.6%

state_Manabi
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	283466
1	16623

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	283466	94.5%
1	16623	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	283466	94.5%
1	16623	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	283466	94.5%
1	16623	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	283466	94.5%
1	16623	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	283466	94.5%
1	16623	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	283466	94.5%
1	16623	5.5%

state_Pastaza
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294534
1	5555

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294534	98.1%
1	5555	1.9%

state_Pichincha
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	194651
1	105438

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	194651	64.9%
1	105438	35.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	194651	64.9%
1	105438	35.1%

Most occurring characters

Value	Count	Frequency (%)
0	194651	64.9%
1	105438	35.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	194651	64.9%
1	105438	35.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	194651	64.9%
1	105438	35.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	194651	64.9%
1	105438	35.1%

state_Santa Elena
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	294505
1	5584

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	294505	98.1%
1	5584	1.9%

state_Santo Domingo de los Tsachilas
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	283092
1	16997

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

Most occurring characters

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	283092	94.3%
1	16997	5.7%

state_Tungurahua
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	288854
1	11235

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	288854	96.3%
1	11235	3.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	288854	96.3%
1	11235	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	288854	96.3%
1	11235	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	288854	96.3%
1	11235	3.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	288854	96.3%
1	11235	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	288854	96.3%
1	11235	3.7%

type_B
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	255492
1	44597

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	255492	85.1%
1	44597	14.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	255492	85.1%
1	44597	14.9%

Most occurring characters

Value	Count	Frequency (%)
0	255492	85.1%
1	44597	14.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	255492	85.1%
1	44597	14.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	255492	85.1%
1	44597	14.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	255492	85.1%
1	44597	14.9%

type_C
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	216943
1	83146

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	216943	72.3%
1	83146	27.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	216943	72.3%
1	83146	27.7%

Most occurring characters

Value	Count	Frequency (%)
0	216943	72.3%
1	83146	27.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	216943	72.3%
1	83146	27.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	216943	72.3%
1	83146	27.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	216943	72.3%
1	83146	27.7%

type_D
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	199850
1	100239

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	199850	66.6%
1	100239	33.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	199850	66.6%
1	100239	33.4%

Most occurring characters

Value	Count	Frequency (%)
0	199850	66.6%
1	100239	33.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	199850	66.6%
1	100239	33.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	199850	66.6%
1	100239	33.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	199850	66.6%
1	100239	33.4%

type_E
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	277855
1	22234

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	277855	92.6%
1	22234	7.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	277855	92.6%
1	22234	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	277855	92.6%
1	22234	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	277855	92.6%
1	22234	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	277855	92.6%
1	22234	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	277855	92.6%
1	22234	7.4%

family_BABY CARE
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290975
1	9114

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290975	97.0%
1	9114	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290975	97.0%
1	9114	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	290975	97.0%
1	9114	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290975	97.0%
1	9114	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290975	97.0%
1	9114	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290975	97.0%
1	9114	3.0%

family_BEAUTY
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291086
1	9003

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	291086	97.0%
1	9003	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291086	97.0%
1	9003	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291086	97.0%
1	9003	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291086	97.0%
1	9003	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291086	97.0%
1	9003	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291086	97.0%
1	9003	3.0%

family_BEVERAGES
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291141
1	8948

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291141	97.0%
1	8948	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291141	97.0%
1	8948	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291141	97.0%
1	8948	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291141	97.0%
1	8948	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291141	97.0%
1	8948	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291141	97.0%
1	8948	3.0%

family_BOOKS
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290984
1	9105

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	290984	97.0%
1	9105	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290984	97.0%
1	9105	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	290984	97.0%
1	9105	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290984	97.0%
1	9105	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290984	97.0%
1	9105	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290984	97.0%
1	9105	3.0%

family_BREAD/BAKERY
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290983
1	9106

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290983	97.0%
1	9106	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290983	97.0%
1	9106	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	290983	97.0%
1	9106	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290983	97.0%
1	9106	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290983	97.0%
1	9106	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290983	97.0%
1	9106	3.0%

family_CELEBRATION
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291031
1	9058

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291031	97.0%
1	9058	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291031	97.0%
1	9058	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291031	97.0%
1	9058	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291031	97.0%
1	9058	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291031	97.0%
1	9058	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291031	97.0%
1	9058	3.0%

family_CLEANING
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290875
1	9214

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

family_DAIRY
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290876
1	9213

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290876	96.9%
1	9213	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290876	96.9%
1	9213	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	290876	96.9%
1	9213	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290876	96.9%
1	9213	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290876	96.9%
1	9213	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290876	96.9%
1	9213	3.1%

family_DELI
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291038
1	9051

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291038	97.0%
1	9051	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291038	97.0%
1	9051	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291038	97.0%
1	9051	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291038	97.0%
1	9051	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291038	97.0%
1	9051	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291038	97.0%
1	9051	3.0%

family_EGGS
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290875
1	9214

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290875	96.9%
1	9214	3.1%

family_FROZEN FOODS
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291005
1	9084

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291005	97.0%
1	9084	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291005	97.0%
1	9084	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291005	97.0%
1	9084	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291005	97.0%
1	9084	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291005	97.0%
1	9084	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291005	97.0%
1	9084	3.0%

family_GROCERY I
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291097
1	8992

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291097	97.0%
1	8992	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291097	97.0%
1	8992	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291097	97.0%
1	8992	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291097	97.0%
1	8992	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291097	97.0%
1	8992	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291097	97.0%
1	8992	3.0%

family_GROCERY II
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291117
1	8972

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291117	97.0%
1	8972	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291117	97.0%
1	8972	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291117	97.0%
1	8972	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291117	97.0%
1	8972	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291117	97.0%
1	8972	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291117	97.0%
1	8972	3.0%

family_HARDWARE
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291046
1	9043

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291046	97.0%
1	9043	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291046	97.0%
1	9043	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291046	97.0%
1	9043	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291046	97.0%
1	9043	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291046	97.0%
1	9043	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291046	97.0%
1	9043	3.0%

family_HOME AND KITCHEN I
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291080
1	9009

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291080	97.0%
1	9009	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291080	97.0%
1	9009	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291080	97.0%
1	9009	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291080	97.0%
1	9009	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291080	97.0%
1	9009	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291080	97.0%
1	9009	3.0%

family_HOME AND KITCHEN II
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291226
1	8863

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291226	97.0%
1	8863	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291226	97.0%
1	8863	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291226	97.0%
1	8863	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291226	97.0%
1	8863	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291226	97.0%
1	8863	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291226	97.0%
1	8863	3.0%

family_HOME APPLIANCES
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290971
1	9118

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

family_HOME CARE
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290831
1	9258

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290831	96.9%
1	9258	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290831	96.9%
1	9258	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	290831	96.9%
1	9258	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290831	96.9%
1	9258	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290831	96.9%
1	9258	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290831	96.9%
1	9258	3.1%

family_LADIESWEAR
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291101
1	8988

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291101	97.0%
1	8988	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291101	97.0%
1	8988	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291101	97.0%
1	8988	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291101	97.0%
1	8988	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291101	97.0%
1	8988	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291101	97.0%
1	8988	3.0%

family_LAWN AND GARDEN
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290851
1	9238

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

family_LINGERIE
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291010
1	9079

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291010	97.0%
1	9079	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291010	97.0%
1	9079	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291010	97.0%
1	9079	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291010	97.0%
1	9079	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291010	97.0%
1	9079	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291010	97.0%
1	9079	3.0%

family_LIQUOR,WINE,BEER
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291219
1	8870

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291219	97.0%
1	8870	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291219	97.0%
1	8870	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291219	97.0%
1	8870	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291219	97.0%
1	8870	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291219	97.0%
1	8870	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291219	97.0%
1	8870	3.0%

family_MAGAZINES
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290971
1	9118

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290971	97.0%
1	9118	3.0%

family_MEATS
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290953
1	9136

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290953	97.0%
1	9136	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290953	97.0%
1	9136	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	290953	97.0%
1	9136	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290953	97.0%
1	9136	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290953	97.0%
1	9136	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290953	97.0%
1	9136	3.0%

family_PERSONAL CARE
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290965
1	9124

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290965	97.0%
1	9124	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290965	97.0%
1	9124	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	290965	97.0%
1	9124	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290965	97.0%
1	9124	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290965	97.0%
1	9124	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290965	97.0%
1	9124	3.0%

family_PET SUPPLIES
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290992
1	9097

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290992	97.0%
1	9097	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290992	97.0%
1	9097	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	290992	97.0%
1	9097	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290992	97.0%
1	9097	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290992	97.0%
1	9097	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290992	97.0%
1	9097	3.0%

family_PLAYERS AND ELECTRONICS
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290851
1	9238

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290851	96.9%
1	9238	3.1%

family_POULTRY
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290900
1	9189

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290900	96.9%
1	9189	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290900	96.9%
1	9189	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	290900	96.9%
1	9189	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290900	96.9%
1	9189	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290900	96.9%
1	9189	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290900	96.9%
1	9189	3.1%

family_PREPARED FOODS
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290904
1	9185

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290904	96.9%
1	9185	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290904	96.9%
1	9185	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	290904	96.9%
1	9185	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290904	96.9%
1	9185	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290904	96.9%
1	9185	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290904	96.9%
1	9185	3.1%

family_PRODUCE
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290976
1	9113

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290976	97.0%
1	9113	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290976	97.0%
1	9113	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	290976	97.0%
1	9113	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290976	97.0%
1	9113	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290976	97.0%
1	9113	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290976	97.0%
1	9113	3.0%

family_SCHOOL AND OFFICE SUPPLIES
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	290981
1	9108

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	290981	97.0%
1	9108	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	290981	97.0%
1	9108	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	290981	97.0%
1	9108	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	290981	97.0%
1	9108	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	290981	97.0%
1	9108	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	290981	97.0%
1	9108	3.0%

family_SEAFOOD
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	291014
1	9075

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	300089
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	291014	97.0%
1	9075	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	291014	97.0%
1	9075	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	291014	97.0%
1	9075	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300089	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	291014	97.0%
1	9075	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300089	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	291014	97.0%
1	9075	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	300089	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	291014	97.0%
1	9075	3.0%

is_holiday
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0.0	292089
1.0	8000

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	900267
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	292089	97.3%
1.0	8000	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	292089	97.3%
1.0	8000	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	592178	65.8%
.	300089	33.3%
1	8000	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	600178	66.7%
Other Punctuation	300089	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	592178	98.7%
1	8000	1.3%

Other Punctuation

Value	Count	Frequency (%)
.	300089	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	900267	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	592178	65.8%
.	300089	33.3%
1	8000	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	900267	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	592178	65.8%
.	300089	33.3%
1	8000	0.9%

is_event
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0.0	290173
1.0	9916

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	900267
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	290173	96.7%
1.0	9916	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	290173	96.7%
1.0	9916	3.3%

Most occurring characters

Value	Count	Frequency (%)
0	590262	65.6%
.	300089	33.3%
1	9916	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	600178	66.7%
Other Punctuation	300089	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	590262	98.3%
1	9916	1.7%

Other Punctuation

Value	Count	Frequency (%)
.	300089	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	900267	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	590262	65.6%
.	300089	33.3%
1	9916	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	900267	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	590262	65.6%
.	300089	33.3%
1	9916	1.1%

is_additional
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0.0	294466
1.0	5623

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	900267
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	294466	98.1%
1.0	5623	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	294466	98.1%
1.0	5623	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	594555	66.0%
.	300089	33.3%
1	5623	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	600178	66.7%
Other Punctuation	300089	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	594555	99.1%
1	5623	0.9%

Other Punctuation

Value	Count	Frequency (%)
.	300089	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	900267	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	594555	66.0%
.	300089	33.3%
1	5623	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	900267	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	594555	66.0%
.	300089	33.3%
1	5623	0.6%

is_transfer
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0.0	298804
1.0	1285

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	900267
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	298804	99.6%
1.0	1285	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	298804	99.6%
1.0	1285	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	598893	66.5%
.	300089	33.3%
1	1285	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	600178	66.7%
Other Punctuation	300089	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	598893	99.8%
1	1285	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	300089	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	900267	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	598893	66.5%
.	300089	33.3%
1	1285	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	900267	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	598893	66.5%
.	300089	33.3%
1	1285	0.1%

is_bridge
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0.0	299526
1.0	563

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	900267
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	299526	99.8%
1.0	563	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	299526	99.8%
1.0	563	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	599615	66.6%
.	300089	33.3%
1	563	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	600178	66.7%
Other Punctuation	300089	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	599615	99.9%
1	563	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	300089	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	900267	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	599615	66.6%
.	300089	33.3%
1	563	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	900267	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	599615	66.6%
.	300089	33.3%
1	563	0.1%

Interactions

Correlations

	city	city_Babahoyo	city_Cayambe	city_Cuenca	city_Daule	city_El Carmen	city_Esmeraldas	city_Guaranda	city_Guayaquil	city_Ibarra	city_Latacunga	city_Libertad	city_Loja	city_Machala	city_Manta	city_Playas	city_Puyo	city_Quevedo	city_Quito	city_Riobamba	city_Salinas	city_Santo Domingo	cluster	cluster.1	days_after_earthquake	days_from_previous_payday	days_to_next_payday	dcoilwtico	family	family_BABY CARE	family_BEAUTY	family_BEVERAGES	family_BOOKS	family_BREAD/BAKERY	family_CELEBRATION	family_CLEANING	family_DAIRY	family_DELI	family_EGGS	family_FROZEN FOODS	family_GROCERY I	family_GROCERY II	family_HARDWARE	family_HOME AND KITCHEN I	family_HOME AND KITCHEN II	family_HOME APPLIANCES	family_HOME CARE	family_LADIESWEAR	family_LAWN AND GARDEN	family_LINGERIE	family_LIQUOR,WINE,BEER	family_MAGAZINES	family_MEATS	family_PERSONAL CARE	family_PET SUPPLIES	family_PLAYERS AND ELECTRONICS	family_POULTRY	family_PREPARED FOODS	family_PRODUCE	family_SCHOOL AND OFFICE SUPPLIES	family_SEAFOOD	id	is_additional	is_bridge	is_event	is_holiday	is_payday	is_transfer	onpromotion	sales	state	state_Bolivar	state_Chimborazo	state_Cotopaxi	state_El Oro	state_Esmeraldas	state_Guayas	state_Imbabura	state_Loja	state_Los Rios	state_Manabi	state_Pastaza	state_Pichincha	state_Santa Elena	state_Santo Domingo de los Tsachilas	state_Tungurahua	store_nbr	type	type_B	type_C	type_D	type_E
city	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.595	0.595	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.006	0.000	0.000	0.001	0.005	0.004	0.000	0.000	0.000	0.005	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.003	0.006	0.000	0.000	0.000	0.000	0.000	0.010	0.000	0.000	0.010	0.000	0.003	0.016	0.037	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.722	0.634	0.552	0.768	0.532	0.772
city_Babahoyo	1.000	1.000	0.018	0.033	0.018	0.018	0.018	0.018	0.056	0.018	0.026	0.018	0.019	0.026	0.026	0.018	0.018	0.018	0.095	0.018	0.018	0.033	0.382	0.382	0.000	0.000	0.000	0.001	0.003	0.000	0.000	0.001	0.001	0.002	0.000	0.000	0.000	0.005	0.003	0.000	0.000	0.000	0.000	0.000	0.002	0.002	0.000	0.002	0.000	0.001	0.000	0.000	0.000	0.000	0.001	0.002	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.010	0.007	0.699	0.018	0.018	0.026	0.026	0.018	0.068	0.018	0.019	0.699	0.033	0.018	0.099	0.018	0.033	0.026	0.425	0.323	0.323	0.083	0.095	0.038
city_Cayambe	1.000	0.018	1.000	0.033	0.019	0.018	0.019	0.019	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	0.019	0.019	0.033	0.327	0.327	0.001	0.000	0.001	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.001	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.010	0.013	0.186	0.019	0.019	0.027	0.027	0.019	0.069	0.019	0.019	0.026	0.033	0.019	0.186	0.019	0.033	0.027	0.429	0.327	0.327	0.085	0.097	0.039
city_Cuenca	1.000	0.033	0.033	1.000	0.033	0.033	0.033	0.033	0.101	0.033	0.048	0.033	0.034	0.047	0.048	0.033	0.033	0.033	0.172	0.033	0.033	0.059	0.518	0.518	0.004	0.000	0.004	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.004	0.002	0.000	0.000	0.000	0.003	0.002	0.009	0.017	1.000	0.033	0.033	0.048	0.047	0.033	0.123	0.033	0.034	0.047	0.059	0.033	0.179	0.033	0.059	0.048	0.531	0.252	0.124	0.150	0.173	0.069
city_Daule	1.000	0.018	0.019	0.033	1.000	0.019	0.019	0.019	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	0.019	0.019	0.034	0.429	0.429	0.004	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.011	0.272	0.019	0.019	0.027	0.027	0.019	0.272	0.019	0.019	0.026	0.033	0.019	0.101	0.019	0.034	0.027	0.429	0.194	0.057	0.085	0.194	0.039
city_El Carmen	1.000	0.018	0.018	0.033	0.019	1.000	0.019	0.019	0.057	0.019	0.027	0.019	0.019	0.026	0.027	0.019	0.019	0.018	0.096	0.019	0.019	0.033	0.287	0.287	0.002	0.003	0.002	0.004	0.000	0.003	0.000	0.002	0.000	0.001	0.002	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.001	0.005	0.000	0.000	0.001	0.000	0.001	0.000	0.030	0.009	0.564	0.019	0.019	0.027	0.026	0.019	0.069	0.019	0.019	0.026	0.564	0.019	0.100	0.019	0.033	0.027	0.388	0.221	0.057	0.221	0.097	0.039
city_Esmeraldas	1.000	0.018	0.019	0.033	0.019	0.019	1.000	0.019	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	0.019	0.019	0.034	0.389	0.389	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.002	0.000	0.000	0.003	0.001	0.000	0.000	0.000	0.000	0.002	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.001	0.001	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.009	1.000	0.019	0.019	0.027	0.027	1.000	0.069	0.019	0.019	0.026	0.033	0.019	0.101	0.019	0.034	0.027	0.432	0.485	0.057	0.085	0.097	0.485
city_Guaranda	1.000	0.018	0.019	0.033	0.019	0.019	0.019	1.000	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	0.019	0.019	0.034	0.307	0.307	0.000	0.000	0.002	0.003	0.003	0.000	0.000	0.002	0.000	0.002	0.002	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	0.003	0.000	0.000	0.002	0.000	0.001	0.000	0.003	0.000	0.000	0.002	0.011	1.000	1.000	0.019	0.027	0.027	0.019	0.069	0.019	0.019	0.026	0.033	0.019	0.101	0.019	0.034	0.027	0.386	0.222	0.057	0.222	0.097	0.039
city_Guayaquil	1.000	0.056	0.057	0.101	0.057	0.057	0.057	0.057	1.000	0.057	0.082	0.057	0.058	0.081	0.082	0.057	0.057	0.056	0.294	0.057	0.057	0.102	0.475	0.475	0.004	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.002	0.000	0.001	0.001	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.007	0.000	0.000	0.002	0.000	0.002	0.009	0.027	0.823	0.057	0.057	0.082	0.081	0.057	0.823	0.057	0.058	0.080	0.101	0.057	0.306	0.057	0.102	0.082	0.681	0.281	0.026	0.026	0.072	0.279
city_Ibarra	1.000	0.018	0.019	0.033	0.019	0.019	0.019	0.019	0.057	1.000	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	0.019	0.019	0.034	0.307	0.307	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.002	0.000	0.002	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.004	0.011	1.000	0.019	0.019	0.027	0.027	0.019	0.069	1.000	0.019	0.026	0.033	0.019	0.101	0.019	0.034	0.027	0.429	0.222	0.057	0.222	0.097	0.039
city_Latacunga	1.000	0.026	0.027	0.048	0.027	0.027	0.027	0.027	0.082	0.027	1.000	0.027	0.027	0.038	0.039	0.027	0.027	0.027	0.139	0.027	0.027	0.048	0.439	0.439	0.003	0.000	0.000	0.006	0.000	0.000	0.001	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.002	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.003	0.001	0.000	0.000	0.000	0.000	0.001	0.003	0.000	0.002	0.007	0.000	0.000	0.006	0.016	1.000	0.027	0.027	1.000	0.038	0.027	0.099	0.027	0.027	0.038	0.048	0.027	0.145	0.027	0.048	0.039	0.615	0.318	0.082	0.318	0.139	0.056
city_Libertad	1.000	0.018	0.019	0.033	0.019	0.019	0.019	0.019	0.057	0.019	0.027	1.000	0.019	0.027	0.027	0.019	0.019	0.019	0.098	0.019	0.019	0.034	0.392	0.392	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.003	0.000	0.002	0.000	0.001	0.000	0.000	0.003	0.001	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.008	0.010	0.273	0.019	0.019	0.027	0.027	0.019	0.273	0.019	0.019	0.027	0.033	0.019	0.102	0.019	0.034	0.027	0.388	0.488	0.058	0.085	0.098	0.488
city_Loja	1.000	0.019	0.019	0.034	0.019	0.019	0.019	0.019	0.058	0.019	0.027	0.019	1.000	0.027	0.027	0.019	0.019	0.019	0.099	0.019	0.019	0.034	0.293	0.293	0.003	0.002	0.000	0.000	0.003	0.002	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.003	0.005	0.001	0.000	0.000	0.000	0.000	0.002	0.002	0.001	0.000	0.002	0.002	0.001	0.009	1.000	0.019	0.019	0.027	0.027	0.019	0.071	0.019	1.000	0.027	0.034	0.019	0.103	0.019	0.034	0.027	0.393	0.197	0.058	0.086	0.197	0.039
city_Machala	1.000	0.026	0.027	0.047	0.027	0.026	0.027	0.027	0.081	0.027	0.038	0.027	0.027	1.000	0.038	0.027	0.027	0.026	0.138	0.027	0.027	0.048	0.409	0.409	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.002	0.003	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.001	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.003	0.000	0.014	1.000	0.027	0.027	0.038	1.000	0.027	0.098	0.027	0.027	0.037	0.047	0.027	0.143	0.027	0.048	0.038	0.612	0.157	0.081	0.097	0.068	0.055
city_Manta	1.000	0.026	0.027	0.048	0.027	0.027	0.027	0.027	0.082	0.027	0.039	0.027	0.027	0.038	1.000	0.027	0.027	0.026	0.139	0.027	0.027	0.048	0.471	0.471	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.001	0.001	0.000	0.003	0.002	0.001	0.004	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.001	0.000	0.022	0.014	0.810	0.027	0.027	0.039	0.038	0.027	0.099	0.027	0.027	0.038	0.810	0.027	0.144	0.027	0.048	0.039	0.557	0.221	0.082	0.121	0.067	0.055
city_Playas	1.000	0.018	0.019	0.033	0.019	0.019	0.019	0.019	0.057	0.019	0.027	0.019	0.019	0.027	0.027	1.000	0.019	0.019	0.098	0.019	0.019	0.034	0.290	0.290	0.000	0.002	0.000	0.003	0.000	0.000	0.000	0.003	0.000	0.005	0.000	0.001	0.000	0.001	0.002	0.000	0.000	0.000	0.000	0.000	0.001	0.001	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.002	0.000	0.001	0.000	0.000	0.000	0.001	0.000	0.000	0.003	0.000	0.000	0.013	0.011	0.273	0.019	0.019	0.027	0.027	0.019	0.273	0.019	0.019	0.027	0.033	0.019	0.102	0.019	0.034	0.027	0.389	0.223	0.058	0.223	0.098	0.039
city_Puyo	1.000	0.018	0.019	0.033	0.019	0.019	0.019	0.019	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	1.000	0.018	0.097	0.019	0.019	0.034	0.328	0.328	0.000	0.000	0.000	0.000	0.002	0.001	0.000	0.001	0.004	0.000	0.000	0.000	0.002	0.002	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.001	0.000	0.000	0.002	0.000	0.000	0.001	0.000	0.004	0.000	0.000	0.000	0.000	0.011	1.000	0.019	0.019	0.027	0.027	0.019	0.069	0.019	0.019	0.026	0.033	1.000	0.101	0.019	0.034	0.027	0.386	0.222	0.057	0.222	0.097	0.039
city_Quevedo	1.000	0.018	0.018	0.033	0.018	0.018	0.018	0.018	0.056	0.018	0.027	0.019	0.019	0.026	0.026	0.019	0.018	1.000	0.096	0.018	0.018	0.033	0.285	0.285	0.000	0.000	0.004	0.000	0.005	0.000	0.004	0.000	0.001	0.003	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.004	0.000	0.002	0.000	0.000	0.000	0.001	0.002	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.003	0.000	0.000	0.000	0.002	0.000	0.007	0.011	0.703	0.018	0.018	0.027	0.026	0.018	0.069	0.018	0.019	0.703	0.033	0.018	0.100	0.018	0.033	0.027	0.381	0.219	0.057	0.219	0.096	0.038
city_Quito	1.000	0.095	0.097	0.172	0.097	0.096	0.097	0.097	0.294	0.097	0.139	0.098	0.099	0.138	0.139	0.098	0.097	0.096	1.000	0.097	0.097	0.173	0.674	0.674	0.006	0.000	0.000	0.006	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.002	0.004	0.003	0.000	0.001	0.002	0.000	0.000	0.000	0.002	0.000	0.001	0.001	0.003	0.000	0.002	0.000	0.000	0.000	0.002	0.001	0.006	0.000	0.000	0.003	0.000	0.002	0.019	0.096	0.960	0.097	0.097	0.139	0.138	0.097	0.357	0.097	0.099	0.136	0.171	0.097	0.960	0.097	0.173	0.139	0.817	0.419	0.040	0.262	0.080	0.200
city_Riobamba	1.000	0.018	0.019	0.033	0.019	0.019	0.019	0.019	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	1.000	0.019	0.033	0.327	0.327	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.001	0.002	0.000	0.003	0.000	0.000	0.000	0.002	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.003	0.000	0.001	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.010	1.000	0.019	1.000	0.027	0.027	0.019	0.069	0.019	0.019	0.026	0.033	0.019	0.101	0.019	0.033	0.027	0.428	0.221	0.057	0.221	0.097	0.039
city_Salinas	1.000	0.018	0.019	0.033	0.019	0.019	0.019	0.019	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	0.019	1.000	0.034	0.430	0.430	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.002	0.002	0.005	0.010	1.000	0.019	0.019	0.027	0.027	0.019	0.070	0.019	0.019	0.026	0.033	0.019	0.101	1.000	0.034	0.027	0.429	0.194	0.057	0.085	0.194	0.039
city_Santo Domingo	1.000	0.033	0.033	0.059	0.034	0.033	0.034	0.034	0.102	0.034	0.048	0.034	0.034	0.048	0.048	0.034	0.034	0.033	0.173	0.033	0.034	1.000	0.358	0.358	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.003	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.002	0.000	0.002	0.002	0.001	0.000	0.000	0.002	0.000	0.000	0.000	0.001	0.006	0.000	0.000	0.007	0.019	1.000	0.034	0.033	0.048	0.048	0.034	0.124	0.034	0.034	0.047	0.059	0.034	0.180	0.034	1.000	0.048	0.362	0.172	0.130	0.029	0.000	0.069
cluster	0.595	0.382	0.327	0.518	0.429	0.287	0.389	0.307	0.475	0.307	0.439	0.392	0.293	0.409	0.471	0.290	0.328	0.285	0.674	0.327	0.430	0.358	1.000	1.000	0.002	0.001	-0.001	0.002	0.000	0.001	0.001	0.005	0.000	0.003	0.000	0.006	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.003	0.004	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	0.002	0.000	0.001	0.000	0.000	0.000	0.003	0.000	0.001	0.000	0.000	0.003	0.004	0.000	0.004	0.034	0.519	0.307	0.327	0.439	0.409	0.389	0.561	0.307	0.293	0.311	0.392	0.328	0.662	0.430	0.358	0.354	-0.065	0.763	0.768	0.625	0.868	0.802
cluster.1	0.595	0.382	0.327	0.518	0.429	0.287	0.389	0.307	0.475	0.307	0.439	0.392	0.293	0.409	0.471	0.290	0.328	0.285	0.674	0.327	0.430	0.358	1.000	1.000	0.002	0.001	-0.001	0.002	0.000	0.001	0.001	0.005	0.000	0.003	0.000	0.006	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.003	0.004	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	0.002	0.000	0.001	0.000	0.000	0.000	0.003	0.000	0.001	0.000	0.000	0.003	0.004	0.000	0.004	0.034	0.519	0.307	0.327	0.439	0.409	0.389	0.561	0.307	0.293	0.311	0.392	0.328	0.662	0.430	0.358	0.354	-0.065	0.763	0.768	0.625	0.868	0.802
days_after_earthquake	0.000	0.000	0.001	0.004	0.004	0.002	0.000	0.000	0.004	0.000	0.003	0.002	0.003	0.000	0.000	0.000	0.000	0.000	0.006	0.003	0.000	0.000	0.002	0.002	1.000	0.003	-0.006	-0.391	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.003	0.004	0.000	0.002	0.001	0.004	0.000	0.000	0.004	0.000	0.000	0.005	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.802	0.151	0.089	0.095	0.070	0.022	0.096	0.365	0.152	0.000	0.000	0.003	0.003	0.000	0.000	0.004	0.000	0.003	0.000	0.000	0.000	0.005	0.000	0.000	0.000	-0.000	0.002	0.004	0.000	0.003	0.002
days_from_previous_payday	0.000	0.000	0.000	0.000	0.001	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.002	0.001	0.001	0.003	1.000	-0.623	-0.007	0.000	0.003	0.000	0.004	0.003	0.000	0.000	0.000	0.000	0.005	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.002	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.005	0.000	0.008	0.114	0.069	0.064	0.126	0.679	0.115	0.000	-0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.002	0.000	0.000	0.000	0.000	0.002	0.001	-0.000	0.000	0.002	0.000	0.000	0.000
days_to_next_payday	0.000	0.000	0.001	0.004	0.000	0.002	0.000	0.002	0.000	0.003	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	-0.001	-0.001	-0.006	-0.623	1.000	0.005	0.000	0.005	0.003	0.004	0.000	0.000	0.002	0.000	0.000	0.003	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.000	-0.009	0.127	0.067	0.064	0.123	0.680	0.106	-0.001	-0.001	0.000	0.002	0.000	0.000	0.001	0.000	0.000	0.003	0.000	0.005	0.001	0.000	0.000	0.000	0.000	0.005	-0.001	0.000	0.000	0.000	0.000	0.000
dcoilwtico	0.000	0.001	0.004	0.002	0.000	0.004	0.000	0.003	0.005	0.000	0.006	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.006	0.000	0.000	0.000	0.002	0.002	-0.391	-0.007	0.005	1.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.003	0.000	0.004	0.000	0.000	0.000	0.000	0.001	0.002	0.005	0.000	0.000	0.000	0.000	0.003	0.002	0.000	0.005	0.000	0.001	0.000	0.000	0.000	0.000	-0.744	0.142	0.070	0.147	0.059	0.023	0.051	-0.279	-0.181	0.000	0.003	0.000	0.006	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	-0.001	0.000	0.000	0.000	0.000	0.000
family	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.002	0.005	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.000	0.000	0.000	0.004	0.004	0.000	0.002	0.094	0.115	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.006	0.000	0.002	0.003	0.000	0.000	0.000	0.000	0.000	0.006	0.003	0.000	0.000
family_BABY CARE	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.001	0.001	0.000	0.003	0.005	0.000	1.000	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.000	0.000	0.000	0.002	0.001	0.000	0.000	0.012	0.015	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.002	0.001	0.000	0.000	0.000	0.000	0.001	0.001	0.000	0.000	0.000	0.000
family_BEAUTY	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.001	0.001	0.000	0.000	0.003	0.000	1.000	0.031	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.000	0.000	0.000	0.003	0.000	0.002	0.000	0.012	0.014	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.002	0.000	0.000	0.001	0.001
family_BEVERAGES	0.005	0.001	0.000	0.000	0.000	0.002	0.001	0.002	0.000	0.000	0.005	0.000	0.002	0.000	0.000	0.003	0.001	0.000	0.000	0.000	0.000	0.000	0.005	0.005	0.002	0.004	0.004	0.000	1.000	0.031	0.031	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.030	0.031	0.031	0.031	0.031	0.031	0.030	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.018	0.112	0.005	0.002	0.000	0.005	0.000	0.001	0.001	0.000	0.002	0.001	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.001
family_BOOKS	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.004	0.001	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.004	1.000	0.031	0.031	0.031	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.012	0.014	0.002	0.000	0.001	0.000	0.000	0.000	0.002	0.000	0.000	0.002	0.000	0.004	0.000	0.000	0.000	0.000	0.000	0.003	0.004	0.000	0.000	0.000
family_BREAD/BAKERY	0.006	0.002	0.000	0.000	0.000	0.001	0.002	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.003	0.000	0.001	0.003	0.000	0.003	0.003	0.000	0.000	0.000	0.000	1.000	0.031	0.031	0.031	0.031	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.000	0.003	0.000	0.003	0.003	0.000	0.000	0.012	0.014	0.005	0.002	0.001	0.000	0.000	0.002	0.000	0.000	0.000	0.004	0.001	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000
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family_EGGS	0.004	0.003	0.003	0.000	0.000	0.001	0.000	0.003	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.002	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.002	0.000	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.032	0.032	0.031	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.032	0.031	0.032	0.031	0.031	0.031	0.031	0.031	0.031	0.032	0.032	0.032	0.031	0.031	0.031	0.000	0.003	0.000	0.000	0.000	0.001	0.000	0.012	0.015	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000
family_FROZEN FOODS	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.004	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.000	0.000	0.000	0.001	0.000	0.000	0.001	0.012	0.014	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000
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family_HOME AND KITCHEN I	0.000	0.000	0.000	0.000	0.001	0.000	0.002	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.003	0.003	0.002	0.000	0.000	0.000	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.000	0.000	0.000	0.000	0.000	0.001	0.003	0.012	0.014	0.000	0.000	0.000	0.000	0.000	0.002	0.003	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.004	0.000	0.002	0.001	0.000	0.000
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family_MAGAZINES	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.003	0.000	0.000	0.003	0.000	0.003	0.000	0.002	0.000	0.000	0.005	0.000	0.000	0.003	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.012	0.015	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.002	0.000	0.000	0.000	0.002	0.000	0.001	0.000	0.000	0.000	0.000	0.000
family_MEATS	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.002	0.001	0.002	0.000	0.000	0.000	0.001	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.002	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.032	0.031	0.031	0.031	0.031	0.031	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.005	0.000	0.000	0.002	0.003	0.004	0.000	0.012	0.014	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.001	0.002	0.000	0.001	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
family_PERSONAL CARE	0.000	0.000	0.001	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.001	0.000	0.002	0.000	0.001	0.001	0.000	0.002	0.000	0.000	0.003	0.000	0.000	0.000	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.000	0.001	0.001	0.000	0.000	0.002	0.000	0.011	0.015	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.002	0.002	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.001	0.000
family_PET SUPPLIES	0.004	0.001	0.001	0.000	0.000	0.000	0.002	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.002	0.002	0.000	0.000	0.000	0.005	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.003	0.001	0.000	0.000	0.000	0.000	0.000	0.012	0.014	0.004	0.005	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.004	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
family_PLAYERS AND ELECTRONICS	0.003	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.003	0.002	0.001	0.001	0.000	0.000	0.000	0.003	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.032	0.032	0.031	0.032	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.032	0.031	0.032	0.031	0.031	0.031	0.031	0.031	0.031	1.000	0.032	0.032	0.031	0.031	0.031	0.001	0.000	0.000	0.000	0.003	0.000	0.000	0.012	0.015	0.004	0.000	0.003	0.003	0.002	0.000	0.000	0.000	0.003	0.000	0.001	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000
family_POULTRY	0.006	0.000	0.000	0.000	0.004	0.000	0.001	0.000	0.000	0.002	0.001	0.000	0.005	0.000	0.000	0.002	0.001	0.000	0.002	0.000	0.000	0.002	0.001	0.001	0.000	0.000	0.000	0.001	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.032	0.032	0.031	0.032	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.032	0.031	0.032	0.031	0.031	0.031	0.031	0.031	0.031	0.032	1.000	0.031	0.031	0.031	0.031	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.012	0.015	0.004	0.000	0.000	0.001	0.000	0.001	0.000	0.002	0.005	0.000	0.000	0.001	0.002	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000
family_PREPARED FOODS	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.003	0.000	0.000	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.032	0.032	0.031	0.032	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.032	0.031	0.032	0.031	0.031	0.031	0.031	0.031	0.031	0.032	0.031	1.000	0.031	0.031	0.031	0.000	0.000	0.004	0.000	0.003	0.000	0.000	0.012	0.015	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.001	0.001	0.000	0.000	0.000	0.001	0.001	0.000
family_PRODUCE	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.003	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	1.000	0.031	0.031	0.001	0.000	0.000	0.000	0.002	0.000	0.000	0.199	0.086	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
family_SCHOOL AND OFFICE SUPPLIES	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.005	0.000	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	1.000	0.031	0.005	0.000	0.000	0.000	0.000	0.002	0.000	0.012	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
family_SEAFOOD	0.000	0.001	0.000	0.002	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.002	0.000	0.001	0.002	0.003	0.003	0.002	0.000	0.000	0.000	1.000	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	0.031	1.000	0.005	0.002	0.000	0.000	0.000	0.001	0.000	0.012	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.001	0.002	0.000	0.001	0.003	0.002	0.003	0.002	0.000
id	0.000	0.000	0.000	0.004	0.005	0.005	0.004	0.002	0.003	0.000	0.001	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.802	0.008	-0.009	-0.744	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.004	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.002	0.002	0.000	0.005	0.000	0.003	0.001	0.000	0.000	0.001	0.005	0.005	1.000	0.127	0.090	0.315	0.053	0.007	0.076	0.404	0.217	0.000	0.002	0.000	0.001	0.000	0.004	0.003	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.001	-0.001	0.002	0.001	0.000	0.000	0.003
is_additional	0.010	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.007	0.003	0.003	0.000	0.002	0.003	0.000	0.001	0.001	0.003	0.006	0.000	0.000	0.000	0.001	0.001	0.151	0.114	0.127	0.142	0.000	0.000	0.000	0.000	0.000	0.003	0.001	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.001	0.000	0.002	0.000	0.000	0.000	0.002	0.127	1.000	0.093	0.000	0.020	0.042	0.003	0.010	0.010	0.010	0.000	0.000	0.003	0.003	0.000	0.004	0.003	0.002	0.003	0.000	0.001	0.006	0.000	0.000	0.004	0.009	0.002	0.000	0.003	0.000	0.000
is_bridge	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.089	0.069	0.067	0.070	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.090	0.093	1.000	0.008	0.007	0.011	0.001	0.004	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.001	0.001	0.000
is_event	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.002	0.000	0.001	0.000	0.002	0.000	0.004	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.095	0.064	0.064	0.147	0.004	0.002	0.003	0.000	0.000	0.003	0.000	0.001	0.000	0.000	0.000	0.001	0.002	0.002	0.000	0.000	0.000	0.000	0.002	0.000	0.001	0.003	0.003	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.315	0.000	0.008	1.000	0.005	0.015	0.012	0.023	0.014	0.003	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.001	0.000	0.003	0.004	0.000	0.000	0.001	0.000	0.000	0.001	0.001	0.003	0.001	0.000
is_holiday	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.002	0.000	0.007	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.003	0.000	0.000	0.006	0.003	0.003	0.070	0.126	0.123	0.059	0.004	0.001	0.000	0.000	0.000	0.003	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.003	0.000	0.000	0.000	0.003	0.000	0.000	0.003	0.000	0.003	0.002	0.000	0.000	0.053	0.020	0.007	0.005	1.000	0.027	0.011	0.000	0.009	0.010	0.003	0.000	0.007	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.006	0.002	0.008	0.000	0.000	0.002	0.000	0.001
is_payday	0.000	0.000	0.000	0.003	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.001	0.000	0.000	0.002	0.000	0.000	0.002	0.000	0.004	0.004	0.022	0.679	0.680	0.023	0.000	0.000	0.002	0.000	0.000	0.000	0.003	0.001	0.000	0.000	0.001	0.000	0.003	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.004	0.002	0.000	0.000	0.000	0.000	0.000	0.002	0.001	0.007	0.042	0.011	0.015	0.027	1.000	0.017	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.001	0.000	0.000	0.000	0.002	0.000	0.002	0.000	0.000	0.000	0.001	0.002	0.000
is_transfer	0.003	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.002	0.003	0.000	0.000	0.000	0.000	0.002	0.000	0.002	0.000	0.000	0.000	0.096	0.115	0.106	0.051	0.002	0.000	0.000	0.000	0.000	0.000	0.001	0.002	0.000	0.003	0.000	0.001	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.002	0.000	0.000	0.002	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.076	0.003	0.001	0.012	0.011	0.017	1.000	0.000	0.004	0.005	0.000	0.000	0.000	0.003	0.000	0.002	0.000	0.002	0.000	0.000	0.000	0.003	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
onpromotion	0.016	0.010	0.010	0.009	0.004	0.030	0.002	0.002	0.009	0.004	0.006	0.008	0.001	0.000	0.022	0.013	0.000	0.007	0.019	0.000	0.005	0.007	0.004	0.004	0.365	0.000	-0.001	-0.279	0.094	0.012	0.012	0.018	0.012	0.012	0.012	0.011	0.050	0.007	0.012	0.012	0.188	0.012	0.012	0.012	0.012	0.012	0.012	0.012	0.012	0.012	0.012	0.012	0.012	0.011	0.012	0.012	0.012	0.012	0.199	0.012	0.012	0.404	0.010	0.004	0.023	0.000	0.000	0.000	1.000	0.539	0.012	0.002	0.000	0.006	0.000	0.002	0.011	0.004	0.001	0.013	0.025	0.000	0.017	0.005	0.007	0.007	0.009	0.022	0.025	0.023	0.028	0.015
sales	0.037	0.007	0.013	0.017	0.011	0.009	0.009	0.011	0.027	0.011	0.016	0.010	0.009	0.014	0.014	0.011	0.011	0.011	0.096	0.010	0.010	0.019	0.034	0.034	0.152	-0.001	-0.001	-0.181	0.115	0.015	0.014	0.112	0.014	0.014	0.014	0.014	0.015	0.014	0.015	0.014	0.264	0.014	0.014	0.014	0.014	0.015	0.015	0.014	0.015	0.014	0.014	0.015	0.014	0.015	0.014	0.015	0.015	0.015	0.086	0.014	0.014	0.217	0.010	0.000	0.014	0.009	0.000	0.004	0.539	1.000	0.037	0.011	0.010	0.016	0.014	0.009	0.036	0.011	0.009	0.013	0.018	0.011	0.098	0.010	0.019	0.003	-0.017	0.061	0.012	0.051	0.027	0.020
state	1.000	0.699	0.186	1.000	0.272	0.564	1.000	1.000	0.823	1.000	1.000	0.273	1.000	1.000	0.810	0.273	1.000	0.703	0.960	1.000	1.000	1.000	0.519	0.519	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.002	0.005	0.000	0.000	0.003	0.005	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.004	0.004	0.000	0.000	0.000	0.000	0.000	0.010	0.000	0.003	0.010	0.002	0.005	0.012	0.037	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.659	0.519	0.365	0.647	0.448	0.641
state_Bolivar	1.000	0.018	0.019	0.033	0.019	0.019	0.019	1.000	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	0.019	0.019	0.034	0.307	0.307	0.000	0.000	0.002	0.003	0.003	0.000	0.000	0.002	0.000	0.002	0.002	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	0.003	0.000	0.000	0.002	0.000	0.001	0.000	0.003	0.000	0.000	0.002	0.011	1.000	1.000	0.019	0.027	0.027	0.019	0.069	0.019	0.019	0.026	0.033	0.019	0.101	0.019	0.034	0.027	0.386	0.222	0.057	0.222	0.097	0.039
state_Chimborazo	1.000	0.018	0.019	0.033	0.019	0.019	0.019	0.019	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	1.000	0.019	0.033	0.327	0.327	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.001	0.002	0.000	0.003	0.000	0.000	0.000	0.002	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.003	0.000	0.001	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.010	1.000	0.019	1.000	0.027	0.027	0.019	0.069	0.019	0.019	0.026	0.033	0.019	0.101	0.019	0.033	0.027	0.428	0.221	0.057	0.221	0.097	0.039
state_Cotopaxi	1.000	0.026	0.027	0.048	0.027	0.027	0.027	0.027	0.082	0.027	1.000	0.027	0.027	0.038	0.039	0.027	0.027	0.027	0.139	0.027	0.027	0.048	0.439	0.439	0.003	0.000	0.000	0.006	0.000	0.000	0.001	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.002	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.003	0.001	0.000	0.000	0.000	0.000	0.001	0.003	0.000	0.002	0.007	0.000	0.000	0.006	0.016	1.000	0.027	0.027	1.000	0.038	0.027	0.099	0.027	0.027	0.038	0.048	0.027	0.145	0.027	0.048	0.039	0.615	0.318	0.082	0.318	0.139	0.056
state_El Oro	1.000	0.026	0.027	0.047	0.027	0.026	0.027	0.027	0.081	0.027	0.038	0.027	0.027	1.000	0.038	0.027	0.027	0.026	0.138	0.027	0.027	0.048	0.409	0.409	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.002	0.003	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.001	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.003	0.000	0.014	1.000	0.027	0.027	0.038	1.000	0.027	0.098	0.027	0.027	0.037	0.047	0.027	0.143	0.027	0.048	0.038	0.612	0.157	0.081	0.097	0.068	0.055
state_Esmeraldas	1.000	0.018	0.019	0.033	0.019	0.019	1.000	0.019	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	0.019	0.019	0.034	0.389	0.389	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.002	0.000	0.000	0.003	0.001	0.000	0.000	0.000	0.000	0.002	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.001	0.001	0.000	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.009	1.000	0.019	0.019	0.027	0.027	1.000	0.069	0.019	0.019	0.026	0.033	0.019	0.101	0.019	0.034	0.027	0.432	0.485	0.057	0.085	0.097	0.485
state_Guayas	1.000	0.068	0.069	0.123	0.272	0.069	0.069	0.069	0.823	0.069	0.099	0.273	0.071	0.098	0.099	0.273	0.069	0.069	0.357	0.069	0.070	0.124	0.561	0.561	0.004	0.000	0.000	0.005	0.000	0.000	0.000	0.001	0.002	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.004	0.000	0.000	0.003	0.000	0.002	0.011	0.036	1.000	0.069	0.069	0.099	0.098	0.069	1.000	0.069	0.071	0.098	0.122	0.069	0.372	0.070	0.124	0.100	0.712	0.393	0.081	0.005	0.064	0.384
state_Imbabura	1.000	0.018	0.019	0.033	0.019	0.019	0.019	0.019	0.057	1.000	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	0.019	0.019	0.034	0.307	0.307	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.002	0.000	0.002	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.004	0.011	1.000	0.019	0.019	0.027	0.027	0.019	0.069	1.000	0.019	0.026	0.033	0.019	0.101	0.019	0.034	0.027	0.429	0.222	0.057	0.222	0.097	0.039
state_Loja	1.000	0.019	0.019	0.034	0.019	0.019	0.019	0.019	0.058	0.019	0.027	0.019	1.000	0.027	0.027	0.019	0.019	0.019	0.099	0.019	0.019	0.034	0.293	0.293	0.003	0.002	0.000	0.000	0.003	0.002	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.003	0.005	0.001	0.000	0.000	0.000	0.000	0.002	0.002	0.001	0.000	0.002	0.002	0.001	0.009	1.000	0.019	0.019	0.027	0.027	0.019	0.071	0.019	1.000	0.027	0.034	0.019	0.103	0.019	0.034	0.027	0.393	0.197	0.058	0.086	0.197	0.039
state_Los Rios	1.000	0.699	0.026	0.047	0.026	0.026	0.026	0.026	0.080	0.026	0.038	0.027	0.027	0.037	0.038	0.027	0.026	0.703	0.136	0.026	0.026	0.047	0.311	0.311	0.000	0.002	0.005	0.000	0.006	0.000	0.002	0.001	0.002	0.004	0.000	0.000	0.000	0.003	0.004	0.000	0.000	0.000	0.002	0.000	0.004	0.000	0.000	0.000	0.001	0.000	0.001	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.001	0.000	0.013	0.013	1.000	0.026	0.026	0.038	0.037	0.026	0.098	0.026	0.027	1.000	0.047	0.026	0.142	0.026	0.047	0.038	0.384	0.242	0.189	0.097	0.137	0.055
state_Manabi	1.000	0.033	0.033	0.059	0.033	0.564	0.033	0.033	0.101	0.033	0.048	0.033	0.034	0.047	0.810	0.033	0.033	0.033	0.171	0.033	0.033	0.059	0.392	0.392	0.000	0.000	0.001	0.000	0.000	0.002	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.001	0.002	0.004	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.025	0.018	1.000	0.033	0.033	0.048	0.047	0.033	0.122	0.033	0.034	0.047	1.000	0.033	0.178	0.033	0.059	0.048	0.687	0.155	0.101	0.029	0.000	0.068
state_Pastaza	1.000	0.018	0.019	0.033	0.019	0.019	0.019	0.019	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	1.000	0.018	0.097	0.019	0.019	0.034	0.328	0.328	0.000	0.000	0.000	0.000	0.002	0.001	0.000	0.001	0.004	0.000	0.000	0.000	0.002	0.002	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.001	0.000	0.000	0.002	0.000	0.000	0.001	0.000	0.004	0.000	0.000	0.000	0.000	0.011	1.000	0.019	0.019	0.027	0.027	0.019	0.069	0.019	0.019	0.026	0.033	1.000	0.101	0.019	0.034	0.027	0.386	0.222	0.057	0.222	0.097	0.039
state_Pichincha	1.000	0.099	0.186	0.179	0.101	0.100	0.101	0.101	0.306	0.101	0.145	0.102	0.103	0.143	0.144	0.102	0.101	0.100	0.960	0.101	0.101	0.180	0.662	0.662	0.005	0.000	0.000	0.005	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.001	0.000	0.000	0.001	0.004	0.003	0.002	0.001	0.002	0.000	0.000	0.000	0.002	0.000	0.000	0.002	0.002	0.000	0.002	0.000	0.000	0.000	0.002	0.002	0.006	0.000	0.000	0.002	0.000	0.003	0.017	0.098	1.000	0.101	0.101	0.145	0.143	0.101	0.372	0.101	0.103	0.142	0.178	0.101	1.000	0.101	0.180	0.145	0.861	0.432	0.132	0.282	0.051	0.208
state_Santa Elena	1.000	0.018	0.019	0.033	0.019	0.019	0.019	0.019	0.057	0.019	0.027	0.019	0.019	0.027	0.027	0.019	0.019	0.018	0.097	0.019	1.000	0.034	0.430	0.430	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.002	0.002	0.005	0.010	1.000	0.019	0.019	0.027	0.027	0.019	0.070	0.019	0.019	0.026	0.033	0.019	0.101	1.000	0.034	0.027	0.429	0.194	0.057	0.085	0.194	0.039
state_Santo Domingo de los Tsachilas	1.000	0.033	0.033	0.059	0.034	0.033	0.034	0.034	0.102	0.034	0.048	0.034	0.034	0.048	0.048	0.034	0.034	0.033	0.173	0.033	0.034	1.000	0.358	0.358	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.003	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.002	0.000	0.002	0.002	0.001	0.000	0.000	0.002	0.000	0.000	0.000	0.001	0.006	0.000	0.000	0.007	0.019	1.000	0.034	0.033	0.048	0.048	0.034	0.124	0.034	0.034	0.047	0.059	0.034	0.180	0.034	1.000	0.048	0.362	0.172	0.130	0.029	0.000	0.069
state_Tungurahua	1.000	0.026	0.027	0.048	0.027	0.027	0.027	0.027	0.082	0.027	0.039	0.027	0.027	0.038	0.039	0.027	0.027	0.027	0.139	0.027	0.027	0.048	0.354	0.354	0.000	0.001	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.001	0.004	0.000	0.000	0.002	0.002	0.000	0.007	0.003	1.000	0.027	0.027	0.039	0.038	0.027	0.100	0.027	0.027	0.038	0.048	0.027	0.145	0.027	0.048	1.000	0.392	0.220	0.082	0.122	0.070	0.056
store_nbr	0.722	0.425	0.429	0.531	0.429	0.388	0.432	0.386	0.681	0.429	0.615	0.388	0.393	0.612	0.557	0.389	0.386	0.381	0.817	0.428	0.429	0.362	-0.065	-0.065	-0.000	-0.000	-0.001	-0.001	0.000	0.001	0.001	0.000	0.000	0.000	0.003	0.000	0.002	0.000	0.000	0.000	0.000	0.003	0.006	0.004	0.000	0.002	0.001	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.001	-0.001	0.009	0.004	0.000	0.008	0.000	0.000	0.009	-0.017	0.659	0.386	0.428	0.615	0.612	0.432	0.712	0.429	0.393	0.384	0.687	0.386	0.861	0.429	0.362	0.392	1.000	0.675	0.500	0.635	0.787	0.486
type	0.634	0.323	0.327	0.252	0.194	0.221	0.485	0.222	0.281	0.222	0.318	0.488	0.197	0.157	0.221	0.223	0.222	0.219	0.419	0.221	0.194	0.172	0.763	0.763	0.002	0.000	0.000	0.000	0.000	0.001	0.002	0.000	0.003	0.000	0.001	0.002	0.000	0.005	0.000	0.000	0.000	0.003	0.003	0.000	0.003	0.002	0.000	0.000	0.003	0.002	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.002	0.002	0.000	0.001	0.000	0.000	0.000	0.022	0.061	0.519	0.222	0.221	0.318	0.157	0.485	0.393	0.222	0.197	0.242	0.155	0.222	0.432	0.194	0.172	0.220	0.675	1.000	1.000	1.000	1.000	1.000
type_B	0.552	0.323	0.327	0.124	0.057	0.057	0.057	0.057	0.026	0.057	0.082	0.058	0.058	0.081	0.082	0.058	0.057	0.057	0.040	0.057	0.057	0.130	0.768	0.768	0.004	0.002	0.000	0.000	0.006	0.000	0.000	0.000	0.004	0.002	0.002	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.000	0.002	0.002	0.003	0.000	0.003	0.002	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.001	0.000	0.000	0.001	0.000	0.000	0.000	0.025	0.012	0.365	0.057	0.057	0.082	0.081	0.057	0.081	0.057	0.058	0.189	0.101	0.057	0.132	0.057	0.130	0.082	0.500	1.000	1.000	0.259	0.296	0.118
type_C	0.768	0.083	0.085	0.150	0.085	0.221	0.085	0.222	0.026	0.222	0.318	0.085	0.086	0.097	0.121	0.223	0.222	0.219	0.262	0.221	0.085	0.029	0.625	0.625	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.000	0.001	0.001	0.002	0.003	0.000	0.001	0.004	0.001	0.000	0.000	0.003	0.002	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.003	0.000	0.003	0.001	0.003	0.002	0.001	0.000	0.023	0.051	0.647	0.222	0.221	0.318	0.097	0.085	0.005	0.222	0.086	0.097	0.029	0.222	0.282	0.085	0.029	0.122	0.635	1.000	0.259	1.000	0.438	0.175
type_D	0.532	0.095	0.097	0.173	0.194	0.097	0.097	0.097	0.072	0.097	0.139	0.098	0.197	0.068	0.067	0.098	0.097	0.096	0.080	0.097	0.194	0.000	0.868	0.868	0.003	0.000	0.000	0.000	0.000	0.000	0.001	0.002	0.000	0.000	0.001	0.003	0.000	0.000	0.000	0.000	0.000	0.004	0.001	0.000	0.000	0.000	0.000	0.001	0.000	0.000	0.002	0.000	0.000	0.001	0.000	0.000	0.000	0.001	0.000	0.000	0.002	0.000	0.000	0.001	0.001	0.000	0.002	0.000	0.028	0.027	0.448	0.097	0.097	0.139	0.068	0.097	0.064	0.097	0.197	0.137	0.000	0.097	0.051	0.194	0.000	0.070	0.787	1.000	0.296	0.438	1.000	0.200
type_E	0.772	0.038	0.039	0.069	0.039	0.039	0.485	0.039	0.279	0.039	0.056	0.488	0.039	0.055	0.055	0.039	0.039	0.038	0.200	0.039	0.039	0.069	0.802	0.802	0.002	0.000	0.000	0.000	0.000	0.000	0.001	0.001	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.002	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.001	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.001	0.000	0.000	0.015	0.020	0.641	0.039	0.039	0.056	0.055	0.485	0.384	0.039	0.039	0.055	0.068	0.039	0.208	0.039	0.069	0.056	0.486	1.000	0.118	0.175	0.200	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	id	date	store_nbr	family	sales	onpromotion	days_to_next_payday	days_from_previous_payday	days_after_earthquake	dcoilwtico	city	state	type	cluster	cluster.1	city_Cuenca	city_Guayaquil	city_Latacunga	city_Loja	city_Manta	city_Quito	city_Riobamba	state_Chimborazo	state_Cotopaxi	state_Guayas	state_Loja	state_Manabi	state_Pichincha	type_B	type_C	type_D	family_BABY CARE	family_BEAUTY	family_BOOKS	family_DAIRY	family_DELI	family_EGGS	family_GROCERY I	family_HOME APPLIANCES	is_event
0	298189	2013-06-17	26	BABY CARE	0.000	0	13	2	0	97.86	Guayaquil	Guayas	D	10	10	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0.0
1	122546	2013-03-10	47	HOME APPLIANCES	5.000	0	5	10	0	92.01	Quito	Pichincha	A	14	14	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0.0
2	1647768	2015-07-16	42	GROCERY I	0.000	0	15	1	0	50.90	Cuenca	Azuay	D	2	2	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0.0
3	844276	2014-04-20	48	BOOKS	0.000	0	10	5	0	104.33	Quito	Pichincha	A	14	14	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0.0
4	2178629	2016-05-10	38	BEAUTY	3.000	0	5	10	25	44.68	Loja	Loja	D	4	4	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	1	0	1	0	0	0	0	0	0	1.0
5	947306	2014-06-17	39	DAIRY	525.000	1	13	2	0	106.95	Cuenca	Azuay	B	6	6	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0.0
6	2273742	2016-07-02	7	DELI	172.245	6	13	2	78	49.02	Quito	Pichincha	D	8	8	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	1	0	0	0	0	1	0	0	0	0.0
7	2566179	2016-12-14	12	AUTOMOTIVE	3.000	0	1	14	243	51.01	Latacunga	Cotopaxi	C	15	15	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0.0
8	2082961	2016-03-17	53	BABY CARE	0.000	0	14	2	0	40.17	Manta	Manabi	D	13	13	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	1	1	0	0	0	0	0	0	0	0.0
9	397561	2013-08-12	14	EGGS	37.000	0	3	12	0	106.19	Riobamba	Chimborazo	C	7	7	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0.0

	id	date	store_nbr	family	sales	onpromotion	days_to_next_payday	days_from_previous_payday	days_after_earthquake	dcoilwtico	city	state	type	cluster	cluster.1	city_Daule	city_Guayaquil	city_Libertad	city_Manta	city_Quito	state_Guayas	state_Manabi	state_Pichincha	state_Tungurahua	type_B	type_D	type_E	family_BEAUTY	family_BREAD/BAKERY	family_EGGS	family_GROCERY II	family_HOME AND KITCHEN II	family_HOME APPLIANCES	family_LINGERIE	family_LIQUOR,WINE,BEER	is_event
300079	231380	2013-05-10	50	HOME APPLIANCES	1.0	0	5	10	0	95.81	Ambato	Tungurahua	A	14	14	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0.0
300080	482891	2013-09-28	9	BEAUTY	3.0	0	2	13	0	102.86	Quito	Pichincha	B	6	6	0	0	0	0	1	0	0	1	0	1	0	0	1	0	0	0	0	0	0	0	0.0
300081	438190	2013-09-03	53	HOME AND KITCHEN II	0.0	0	12	3	0	108.67	Manta	Manabi	D	13	13	0	0	0	1	0	0	1	0	0	0	1	0	0	0	0	0	1	0	0	0	0.0
300082	582207	2013-11-23	44	LINGERIE	21.0	0	7	8	0	94.53	Quito	Pichincha	A	5	5	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0.0
300083	2149609	2016-04-24	23	LIQUOR,WINE,BEER	0.0	0	6	9	9	42.76	Ambato	Tungurahua	D	9	9	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	1	1.0
300084	2609488	2017-01-08	27	GROCERY II	18.0	0	7	8	268	53.98	Daule	Guayas	D	1	1	1	0	0	0	0	1	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0.0
300085	2597036	2017-01-01	28	BEAUTY	0.0	0	14	1	261	53.75	Guayaquil	Guayas	E	10	10	0	1	0	0	0	1	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0.0
300086	196630	2013-04-21	26	HOME AND KITCHEN II	0.0	0	9	6	0	88.04	Guayaquil	Guayas	D	10	10	0	1	0	0	0	1	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0.0
300087	2431610	2016-09-29	36	BREAD/BAKERY	490.0	13	1	14	167	47.72	Libertad	Guayas	E	10	10	0	0	1	0	0	1	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0.0
300088	1056538	2014-08-17	53	EGGS	121.0	0	14	2	0	97.30	Manta	Manabi	D	13	13	0	0	0	1	0	0	1	0	0	0	1	0	0	0	1	0	0	0	0	0	0.0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number